Face recognition systems are vulnerable to the presentation of spoofed faces, which may be presented to face recognition systems, for example, by an unauthorized user seeking to gain access to a protected resource. A face liveness detection method that addresses this vulnerability utilizes motion analysis to compare the relative movement among three regions of interest in a facial image and based upon that comparison to make a face liveness determination.
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06V 40/40 - Détection d’usurpation, p. ex. détection d’activité
2.
AUTOMATIC ENTITY RESOLUTION WITH RULES DETECTION AND GENERATION SYSTEM
Entity resolution (i.e., record linkage) involves the analysis/discovering of datasets that refer to the same real world entity. Analysis typically involves transformation and comparison of different fields of the dataset followed by the application of often domain/data specific logic for determining datasets that refer to the same real world entity (e.g., person). Consider, a bulk mailing of product catalogs to potential customers. Some individuals may have numerous public records that identify the individual differently. Illustratively, several records associated with Jane Doe at her current home address may exist: one record with her name listed as J. Doe, a second record as Jane H. Doe, a third record as Doe, Jane, and a fourth record as Jan Doe (a misspelling). Conceivably, the bulk mailing could unwittingly send multiple catalogs to Jane Doe at her current address, one for each name variation. The entity resolution process described herein can overcome such problems.
G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
Methods and systems are provided for an AdHoc enrollment process. A user may be able to enroll and be verified by a system for a variety of actions or authentications without being forced to turn over personally identifiable information and without having to formally enroll. The system may compare captured biometric information with existing biometric information and may identify the user without the use of personally identifiable information.
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
Entity resolution (i.e., record linkage) involves the analysis/discovering of datasets that refer to the same real world entity. Analysis typically involves transformation and comparison of different fields of the dataset followed by the application of often domain/data specific logic for determining datasets that refer to the same real world entity (e.g., person). Consider, a bulk mailing of product catalogs to potential customers. Some individuals may have numerous public records that identify the individual differently. Illustratively, several records associated with Jane Doe at her current home address may exist: one record with her name listed as J. Doe, a second record as Jane H. Doe, a third record as Doe, Jane, and a fourth record as Jan Doe (a misspelling). Conceivably, the bulk mailing could unwittingly send multiple catalogs to Jane Doe at her current address, one for each name variation. The entity resolution process described herein can overcome such problems.
G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
Methods and systems are provided for an AdHoc enrollment process. A user may be able to enroll and be verified by a system for a variety of actions or authentications without being forced to turn over personally identifiable information and without having to formally enroll. The system may compare captured biometric information with existing biometric information and may identify the user without the use of personally identifiable information.
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
Face recognition systems are vulnerable to the presentation of spoofed faces, which may be presented to face recognition systems, for example, by an unauthorized user seeking to gain access to a protected resource. A face liveness detection method that addresses this vulnerability utilizes motion analysis to compare the relative movement among three regions of interest in a facial image and based upon that comparison to make a face liveness determination.
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Design for others in the field of computer networks, software, and engineering for the fields of biometrics, identity, security, and
authentication for fingerprint, voice, face and iris modalities, namely, design and development of software for data processing and
data management for use in such fields; Platform as a service (PAAS) featuring computer software platforms for data processing
and data management for use in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris
modalities; Providing temporary use of on-line non-downloadable software and applications for data processing and data
management for use in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities.
Methods and systems are provided for an AdHoc enrollment process. A user may be able to enroll and be verified by a system for a variety of actions or authentications without being forced to turn over personally identifiable information and without having to formally enroll. The system may compare captured biometric information with existing biometric information and may identify the user without the use of personally identifiable information.
Methods and systems for of generating reporting data in an automated, efficient, and risk-free fashion relating to an identification match relating to a probe image are disclosed. Methods include automatically capturing a comparison area in the probe image and a comparison area of a candidate image based on examiner input; facilitating a determination of whether a similarity or a dissimilarity exists between the comparison area in the probe image and the comparison area of the candidate image; automatically recording metadata based on the determination of whether the similarity or the dissimilarity exists between the comparison area in the probe image and the comparison area of the candidate image and updating an audit log; and generating a report comprising the metadata.
G06F 16/583 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu
G06V 40/50 - Traitement de données biométriques ou leur maintenance
10.
Biometric credentials revocation or cancellable biometrics
Methods and systems are provided that allow a user to access a cryptosystem configured to revoke or cancel biometric credentials associated with the user. The cryptosystem may use randomized seeds and projections to identify elements unique to the user and generate a cancellable cryptographic key set used to verify the identity of the user.
Methods and systems for of generating reporting data in an automated, efficient, and risk-free fashion relating to an identification match relating to a probe image are disclosed. Methods include automatically capturing a comparison area in the probe image and a comparison area of a candidate image based on examiner input; facilitating a determination of whether a similarity or a dissimilarity exists between the comparison area in the probe image and the comparison area of the candidate image; automatically recording metadata based on the determination of whether the similarity or the dissimilarity exists between the comparison area in the probe image and the comparison area of the candidate image and updating an audit log; and generating a report comprising the metadata.
G06F 16/583 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu
G06V 40/50 - Traitement de données biométriques ou leur maintenance
12.
FUSION TEMPLATE FOR USER AUTHENTICATION AND VAULT FOR STORING AND USING THE SAME
Methods and systems are provided that allow a user to store, provision, and control a plurality of biometric and non-biometric modalities associated with the user. An IntelliVault allows the user to securely store and utilize biometric information and provides sovereign data management to the user for access authentication.
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
G06F 21/40 - Authentification de l’utilisateur sous réserve d’un quorum, c.-à-d. avec l’intervention nécessaire d’au moins deux responsables de la sécurité
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
13.
FUSION TEMPLATE FOR USER AUTHENTICATION AND VAULT FOR STORING AND USING THE SAME
Methods and systems are provided that allow a user to store, provision, and control a plurality of biometric and non-biometric modalities associated with the user. An IntelliVault allows the user to securely store and utilize biometric information and provides sovereign data management to the user for access authentication.
Systems and methods for repairing cross-linked biometric records receive a set of biometric records. Each biometric record contains at least one biometric sample in a non-textual modality. One or more of the biometric records in the set of biometric records is potentially a cross-linked biometric record having at least two biometric samples that are associated with different individuals. Crosslink resolution is performed on the set of biometric records by searching for a match between a biometric sample in a given non-textual modality of a given biometric record with each biometric sample of the same given non-textual modality in each of the other biometric records in the set of biometric records. During the crosslink resolution, biometric sample may be removed from one biometric record and merged with another biometric record.
In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.
G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
G06F 16/2457 - Traitement des requêtes avec adaptation aux besoins de l’utilisateur
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
G06V 40/10 - Corps d’êtres humains ou d’animaux, p. ex. occupants de véhicules automobiles ou piétonsParties du corps, p. ex. mains
G06V 40/40 - Détection d’usurpation, p. ex. détection d’activité
G06V 40/70 - Biométrique multimodale, p. ex. combinaison d’informations de modalités biométriques distinctes
Methods and systems are provided for an AdHoc enrollment process. A user may be able to enroll and be verified by a system for a variety of actions or authentications without being forced to turn over personally identifiable information and without having to formally enroll. The system may compare captured biometric information with existing biometric information and may identify the user without the use of personally identifiable information.
Entity resolution (i.e., record linkage) involves the analysis/discovering of datasets that refer to the same real world entity. Analysis typically involves transformation and comparison of different fields of the dataset followed by the application of often domain/data specific logic for determining datasets that refer to the same real world entity (e.g., person). Consider, a bulk mailing of product catalogs to potential customers. Some individuals may have numerous public records that identify the individual differently. Illustratively, several records associated with Jane Doe at her current home address may exist: one record with her name listed as J. Doe, a second record as Jane H. Doe, a third record as Doe, Jane, and a fourth record as Jan Doe (a misspelling). Conceivably, the bulk mailing could unwittingly send multiple catalogs to Jane Doe at her current address, one for each name variation. The entity resolution process described herein can overcome such problems.
G06F 7/00 - Procédés ou dispositions pour le traitement de données en agissant sur l'ordre ou le contenu des données maniées
G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable computer software for data processing and data management for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint, iris and voice analysis, matching, and enrollment functionality; recorded computer software for data processing and data management for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint, iris and voice analysis, matching, and enrollment functionality Design, development, and implementation of software for for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint, iris and voice analysis, matching, and enrollment functionality; providing temporary use of on-line non-downloadable software and applications for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint, iris and voice analysis, matching, and enrollment functionality; software as a service (SAAS) services featuring software for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint, iris and voice analysis, matching, and enrollment functionality
19.
IMPROVED FACE LIVENESS DETECTION USING BACKGROUND/FOREGROUND MOTION ANALYSIS
Face recognition systems are vulnerable to the presentation of spoofed faces, which may be presented to face recognition systems, for example, by an unauthorized user seeking to gain access to a protected resource. A face liveness detection method that addresses this vulnerability utilizes motion analysis to compare the relative movement among three regions of interest in a facial image and based upon that comparison to make a face liveness determination.
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Design, development, and implementation of software for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint and voice analysis, matching, and enrollment functionality; Providing temporary use of on-line non-downloadable software and applications for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint and voice analysis, matching, and enrollment functionality; Software as a service (SAAS) services featuring software for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint, iris and voice analysis, matching, and enrollment functionality.
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable computer software for data processing and data management for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint and voice analysis, matching, and enrollment functionality; Recorded computer software for data processing and data management for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint and voice analysis, matching, and enrollment functionality. Design, development, and implementation of software for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint, iris and voice analysis, matching, and enrollment functionality; Providing temporary use of on-line non-downloadable software and applications for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint, iris and voice analysis, matching, and enrollment functionality; Software as a service (SAAS) services featuring software for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint, iris and voice analysis, matching, and enrollment functionality.
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable computer software for data processing and data management for use in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities; Recorded software for data processing and data management for use in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities Platform as a service (PAAS) featuring computer software platforms for for data processing and data management for use in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities; Providing temporary use of on-line non-downloadable software and applications for data processing and data management for use in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities; Design for others in the field of computer networks, software, and engineering for the design and development of software in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable computer software for data processing and data management for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint and voice analysis, matching, and enrollment functionality; Recorded computer software for data processing and data management for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint and voice analysis, matching, and enrollment functionality Design, development, and implementation of software for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint, iris and voice analysis, matching, and enrollment functionality; Providing temporary use of on-line non-downloadable software and applications for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint, iris and voice analysis, matching, and enrollment functionality; Software as a service (SAAS) services featuring software for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint, iris and voice analysis, matching, and enrollment functionality
A system and method of analyzing data receives a user-specified selection of a data source, a user-specified selection of a type of data representation, and a user-specified description of a view to be constructed in accordance with the user-specified selection of the type of data representation. An application program interface (API) function generates a multidimensional query based on the user-specified type of data representation and the user-specified description of the view to be constructed, and submits the multidimensional query to the an On-line Analytical Processing (OLAP) server. The application program interface (API) function receives a multidimensional response from the OLAP server containing results acquired by the multidimensional query of the data source, and generates the view based on the results contained in the multidimensional response and in accordance with the user-specified selection of the type of data representation and the user-specified description of the view.
A ridge flow based fingerprint image quality determination can be achieved independent of image resolution, can be processed in real-time and includes segmentation, such as fingertip segmentation, therefore providing image quality assessment for individual fingertips within a four finger flat, dual thumb, or whole hand image. A fingerprint quality module receives from one or more scan devices ridge-flow—containing imagery which can then be assessed for one or more of quality, handedness, historical information analysis and the assignment of bounding boxes.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06T 7/149 - DécoupageDétection de bords impliquant des modèles déformables, p. ex. des modèles de contours actifs
G06K 9/03 - Détection ou correction d'erreurs, p.ex. par une seconde exploration
G06K 9/46 - Extraction d'éléments ou de caractéristiques de l'image
26.
High speed reference point independent database filtering for fingerprint identification
Methods and systems for high-speed filtering of candidate fingerprint images in a gallery using a non-reference-point based matching involving histograms of tokens representing minutia data. The method or system may involve detecting minutia patterns in a probe image, defining tokens that represent the minutia patterns detected in the probe image, measuring a degree of similarity between the probe image and each gallery image by comparing a probability of occurrence of a set of the tokens defined for the probe image with a probability of occurrence of the same set of tokens in that gallery image, and identifying as a candidate for a match to the probe image each gallery image for which the measured degree of similarity satisfies a criterion.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/46 - Extraction d'éléments ou de caractéristiques de l'image
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
G06T 7/44 - Analyse de la texture basée sur la description statistique de texture utilisant des opérateurs de l'image, p. ex. des filtres, des mesures de densité des bords ou des histogrammes locaux
A server system for distributing information securely includes a network interface for receiving, over a network, an information object accompanied by metadata. A repository stores the information object. Metadata is mapped to electronic addresses of trusted recipients. A processor is configured to generate a link for accessing the information object in the repository, acquire an electronic address of a trusted recipient based on the metadata accompanying the information object, insert the link into an electronic message addressed to the electronic address of the trusted recipient, and send the electronic message with the link to the trusted recipient. The processor is further configured to receive, over a second network, a request for the information object sent from a user device in response to an activation of the link, retrieve the information object from the repository, and transmit the information object to a browser of the user device over the second network.
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
G16H 10/40 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données relatives aux analyses de laboratoire, p. ex. pour des analyses d’échantillon de patient
G16H 10/60 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p. ex. pour des dossiers électroniques de patients
G16H 30/20 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le maniement d’images médicales, p. ex. DICOM, HL7 ou PACS
28.
Biometric verification of a blockchain database transaction contributor
A blockchain database employs cryptography and other methods to implement and protect a distributed, publicly-amendable ledger. Transactions in a blockchain ledger are intentionally anonymous; however, there are cases where it would be useful to be able to verify or disprove a claim of identity of a contributor of a blockchain transaction. Biometrics can be used to link a human being to digital information using their unique physical traits in a way that is analogous to a handwritten or digital signature. An exemplary embodiment disclosed herein describes methods to create and store data in a blockchain transaction such that it can be used in the future to biometrically verify the identity of the contributor of the transaction, and use encoded biometric data to determine whether the blockchain transaction was created or not created by a particular individual.
H04L 9/06 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité l'appareil de chiffrement utilisant des registres à décalage ou des mémoires pour le codage par blocs, p. ex. système DES
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
H04L 9/00 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité
H04L 9/30 - Clé publique, c.-à-d. l'algorithme de chiffrement étant impossible à inverser par ordinateur et les clés de chiffrement des utilisateurs n'exigeant pas le secret
29.
Analysis of reflections of projected light in varying colors, brightness, patterns, and sequences for liveness detection in biometric systems
Spoofed faces are unlikely to reflect a liveness detection image in the same manner as live faces. To determine liveness of a subject face, a liveness detection image is displayed on a screen of a face recognition device in the direction of the subject face, and a reflection image of the subject face is captured while the liveness detection image is displayed. The reflection image is analyzed to determine whether the reflection image contains any reflections of the liveness detection image, and a liveness determination is made based on the location and/or character of any such reflections.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
A decentralized biometric identity authentication method utilizes biometrics captured on a mobile device to perform identity authentication against data that was registered as part of an identity proofing process and is thus trusted. The user registers his or her biometric using the user's mobile device and associates it with the user's electronic identity as part of a supervised identity proofing process, thus forming a proofed identity, and registers the proofed identity with a federated identity system. To later access the resources of the federated identity system, the user logs in with his or her biometrics. The methods described herein are useful, for example, in the travel, healthcare, and financial services fields.
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
H04L 9/30 - Clé publique, c.-à-d. l'algorithme de chiffrement étant impossible à inverser par ordinateur et les clés de chiffrement des utilisateurs n'exigeant pas le secret
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
H04W 12/069 - Authentification utilisant des certificats ou des clés pré-partagées
31.
Relationship detection within biometric match results candidates
Systems and methods for enhancing confidence in a biometric search result include submitting one or more biometric samples to a biometric search engine. In response to the one or more submitted biometric samples, a plurality of candidates identified as potentially associated with the one or more submitted biometric samples is received from the biometric search engine. Each identified candidate has associated biographic information. The biographic information associated with each identified candidate is submitted to a relationship detection engine. In response to the submitted biographic information, an identified relationship between at least one of the identified candidates and one or more other individuals is received from the relationship detection engine.
G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
G06F 16/951 - IndexationTechniques d’exploration du Web
G07C 9/37 - Enregistrement de l’entrée ou de la sortie d'une entité isolée ne comportant pas l’utilisation d’un laissez-passer combiné à une vérification d’identité utilisant des données biométriques, p. ex. des empreintes digitales, un balayage de l’iris ou une reconnaissance de la voix
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
G07C 9/38 - Enregistrement de l’entrée ou de la sortie d'une entité isolée ne comportant pas l’utilisation d’un laissez-passer une station centrale gérant l’enregistrement
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Providing temporary use of online non-downloadable software for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint and voice analysis, matching, and enrollment functionality; solutions for biometrics, identity, security and authentication, namely, software as a service (SAAS) services featuring computer software platforms for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint, iris and voice analysis, matching, and enrollment functionality; solutions for biometrics, identity, security and authentication, namely, software design and development in the fields of biometrics, identity, security and authentication for biometric face, fingerprint, iris and voice analysis, matching, and enrollment functionality
33.
Biometric feature extraction using multiple image instantiations
Systems and methods acquire and/or generate multiple different images of the same biometric identity, identify specific instances of biometric features in each of the different images, and merge the identified specific instances of biometric features into a data record that provides a digital representation of the biometric identity. Examples of biometric identities include fingerprints, handprints, palm prints, and thumbprints. In one embodiment, a counter is associated with each specific instance of a biometric feature found in the multiple images. Specific instances of biometric features found most frequently have high counts and are indicative of true identifications; those with low counts are indicative of false identifications. A threshold distinguishes between true and false identifications. Those specific instances with counts below the threshold are excluded when the digital representation of the biometric identity is generated. Thus, the methodology eliminates false identifications of specific instances of biometric features while accentuating true identifications.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06F 16/2457 - Traitement des requêtes avec adaptation aux besoins de l’utilisateur
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable software for data processing and data management for use in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities; recorded software for data processing and data management for use in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities Providing temporary use of online non-downloadable software for data processing and data management for use in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities; solutions for biometrics, identity, security and authentication, namely, platform as a services (PAAS) services featuring computer software platforms for data processing and data management for use in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities; software engineering services; solutions for biometrics, identity, security and authentication, namely, software design and development in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities
09 - Appareils et instruments scientifiques et électriques
Produits et services
Downloadable software for data processing and data management for use in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities; recorded software for data processing and data management for use in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable software for data processing and data management for use in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities; recorded software for data processing and data management for use in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities Providing temporary use of online non-downloadable software for data processing and data management for use in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities; solutions for biometrics, identity, security and authentication, namely, platform as a services (PAAS) services featuring computer software platforms for data processing and data management for use in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities; software engineering services; solutions for biometrics, identity, security and authentication, namely, software design and development in the fields of biometrics, identity, security, and authentication for fingerprint, voice, face and iris modalities
38.
System and method for performing biometric operations in parallel using job requests and a plurality of tasks
Methods and computer systems execute biometric operations in parallel. The performance of a biometric operation includes receiving a job request to perform the biometric operation. The job request includes input data, identifies a database to be used in the performance of the biometric operation, and specifies a function to be performed. The biometric operation is restructured as one or more tasks. A number of entries in the database is assigned to each of the one or more tasks. An independent worker process is generated for each different core of the multi-core processor. Each task of the one or more tasks is assigned to one of the worker processes. Results produced by each worker process assigned one of the one or more tasks are collected. A result of the biometric operation based on the collected results is reported.
G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
G06F 9/28 - Augmentation de la vitesse de fonctionnement, p. ex. en utilisant plusieurs dispositifs de microcommande fonctionnant en parallèle
G06F 21/83 - Protection des dispositifs de saisie, d’affichage de données ou d’interconnexion dispositifs de saisie de données, p. ex. claviers, souris ou commandes desdits claviers ou souris
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
G06F 21/71 - Protection de composants spécifiques internes ou périphériques, où la protection d'un composant mène à la protection de tout le calculateur pour assurer la sécurité du calcul ou du traitement de l’information
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
A ridge flow based fingerprint image quality determination can be achieved independent of image resolution, can be processed in real-time and includes segmentation, such as fingertip segmentation, therefore providing image quality assessment for individual fingertips within a four finger flat, dual thumb, or whole hand image. A fingerprint quality module receives from one or more scan devices ridge-flow-containing imagery which can then be assessed for one or more of quality, handedness, historical information analysis and the assignment of bounding boxes.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06T 7/149 - DécoupageDétection de bords impliquant des modèles déformables, p. ex. des modèles de contours actifs
G06K 9/03 - Détection ou correction d'erreurs, p.ex. par une seconde exploration
G06K 9/46 - Extraction d'éléments ou de caractéristiques de l'image
In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06F 16/2457 - Traitement des requêtes avec adaptation aux besoins de l’utilisateur
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
41.
System and method for automatically detecting and repairing biometric crosslinks
Systems and methods for repairing cross-linked biometric records receive a set of biometric records. Each biometric record contains at least one biometric sample in a non-textual modality. One or more of the biometric records in the set of biometric records is potentially a cross-linked biometric record having at least two biometric samples that are associated with different individuals. Crosslink resolution is performed on the set of biometric records by searching for a match between a biometric sample in a given non-textual modality of a given biometric record with each biometric sample of the same given non-textual modality in each of the other biometric records in the set of biometric records. During the crosslink resolution, biometric sample may be removed from one biometric record and merged with another biometric record.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
As the use of facial biometrics expands in the commercial and government sectors, the need to ensure that human facial examiners use proper procedures to compare facial imagery will grow. Human examiners have examined fingerprint images for many years such that fingerprint examination processes and techniques have reached a point of general acceptance for both commercial and governmental use. The growing deployment and acceptance of facial recognition can be enhanced and solidified if new methods can be used to assist in ensuring and recording that proper examination processes were performed during the human examination of facial imagery.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/1171 - Identification des personnes basée sur la morphologie ou l’aspect de leur corps ou de parties de celui-ci
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
G06F 9/451 - Dispositions d’exécution pour interfaces utilisateur
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Software engineering services; Solutions for biometrics, identity, security and authentication, namely, software design and development in the fields of biometrics, identity, security, and authentication for fingerprint, face and iris modalities; Solutions for biometrics, identity, security and authentication, namely, platform as a services (SAAS) services featuring computer software platforms for data processing and data management in the fields of biometrics, identity, security, and authentication for fingerprint, face and iris modalities
A server system for distributing information securely includes a network interface for receiving, over a network, an information object accompanied by metadata. A repository stores the information object. Metadata is mapped to electronic addresses of trusted recipients. A processor is configured to generate a link for accessing the information object in the repository, acquire an electronic address of a trusted recipient based on the metadata accompanying the information object, insert the link into an electronic message addressed to the electronic address of the trusted recipient, and send the electronic message with the link to the trusted recipient. The processor is further configured to receive, over a second network, a request for the information object sent from a user device in response to an activation of the link, retrieve the information object from the repository, and transmit the information object to a browser of the user device over the second network.
G06F 21/62 - Protection de l’accès à des données via une plate-forme, p. ex. par clés ou règles de contrôle de l’accès
G16H 10/40 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données relatives aux analyses de laboratoire, p. ex. pour des analyses d’échantillon de patient
G16H 10/60 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p. ex. pour des dossiers électroniques de patients
G06F 19/00 - Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des applications spécifiques (spécialement adaptés à des fonctions spécifiques G06F 17/00;systèmes ou méthodes de traitement de données spécialement adaptés à des fins administratives, commerciales, financières, de gestion, de surveillance ou de prévision G06Q;informatique médicale G16H)
G06Q 50/24 - Gestion de dossiers médicaux (traitement de données médicales ou biologiques à des fins scientifiques G06F 19/00)
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
G16H 30/20 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le maniement d’images médicales, p. ex. DICOM, HL7 ou PACS
45.
Face liveness detection using background/foreground motion analysis
Face recognition systems are vulnerable to the presentation and spoofed faces, which may be presented to face recognition systems, for example, by an unauthorized user seeking to gain access to a protected resource. A face liveness detection method that addresses this vulnerability utilizes motion analysis to compare the relative movement among three regions of interest in a facial image, and based upon that comparison to make a face liveness determination.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
A61B 5/11 - Mesure du mouvement du corps entier ou de parties de celui-ci, p. ex. tremblement de la tête ou des mains ou mobilité d'un membre
A61B 5/1171 - Identification des personnes basée sur la morphologie ou l’aspect de leur corps ou de parties de celui-ci
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
G06T 7/194 - DécoupageDétection de bords impliquant une segmentation premier plan-arrière-plan
A blockchain database employs cryptography and other methods to implement and protect a distributed, publicly-amendable ledger. Transactions in a blockchain ledger are intentionally anonymous; however, there are cases where it would be useful to be able to verify or disprove a claim of identity of a contributor of a blockchain transaction. Biometrics can be used to link a human being to digital information using their unique physical traits in a way that is analogous to a handwritten or digital signature. An exemplary embodiment disclosed herein describes methods to create and store data in a blockchain transaction such that it can be used in the future to biometrically verify the identity of the contributor of the transaction, and use encoded biometric data to determine whether the blockchain transaction was created or not created by a particular individual.
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
H04L 9/00 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité
H04L 9/30 - Clé publique, c.-à-d. l'algorithme de chiffrement étant impossible à inverser par ordinateur et les clés de chiffrement des utilisateurs n'exigeant pas le secret
H04L 9/06 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité l'appareil de chiffrement utilisant des registres à décalage ou des mémoires pour le codage par blocs, p. ex. système DES
A ridge flow based fingerprint image quality determination can be achieved independent of image resolution, can be processed in real-time and includes segmentation, such as fingertip segmentation, therefore providing image quality assessment for individual fingertips within a four finger flat, dual thumb, or whole hand image. A fingerprint quality module receives from one or more scan devices ridge-flow-containing imagery which can then be assessed for one or more of quality, handedness, historical information analysis and the assignment of bounding boxes.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/03 - Détection ou correction d'erreurs, p.ex. par une seconde exploration
G06K 9/46 - Extraction d'éléments ou de caractéristiques de l'image
G06T 7/149 - DécoupageDétection de bords impliquant des modèles déformables, p. ex. des modèles de contours actifs
A system and method of analyzing data receives a user-specified selection of a data source, a user-specified selection of a type of data representation, and a user-specified description of a view to be constructed in accordance with the user-specified selection of the type of data representation. An application program interface (API) function generates a multidimensional query based on the user-specified type of data representation and the user-specified description of the view to be constructed, and submits the multidimensional query to the an On-line Analytical Processing (OLAP) server. The application program interface (API) function receives a multidimensional response from the OLAP server containing results acquired by the multidimensional query of the data source, and generates the view based on the results contained in the multidimensional response and in accordance with the user-specified selection of the type of data representation and the user-specified description of the view.
As the use of facial biometrics expands in the commercial and government sectors, the need to ensure that human facial examiners use proper procedures to compare facial imagery will grow. Human examiners have examined fingerprint images for many years such that fingerprint examination processes and techniques have reached a point of general acceptance for both commercial and governmental use. The growing deployment and acceptance of facial recognition can be enhanced and solidified if new methods can be used to assist in ensuring and recording that proper examination processes were performed during the human examination of facial imagery.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/1171 - Identification des personnes basée sur la morphologie ou l’aspect de leur corps ou de parties de celui-ci
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
G06F 9/451 - Dispositions d’exécution pour interfaces utilisateur
In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
G06F 16/2457 - Traitement des requêtes avec adaptation aux besoins de l’utilisateur
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
51.
High speed reference point independent database filtering for fingerprint identification
Methods and systems for high-speed filtering of candidate fingerprint images in a gallery using a non-reference-point based matching involving histograms of tokens representing minutia data. The method or system may involve detecting minutia patterns in a probe image, defining tokens that represent the minutia patterns detected in the probe image, measuring a degree of similarity between the probe image and each gallery image by comparing a probability of occurrence of a set of the tokens defined for the probe image with a probability of occurrence of the same set of tokens in that gallery image, and identifying as a candidate for a match to the probe image each gallery image for which the measured degree of similarity satisfies a criterion.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/46 - Extraction d'éléments ou de caractéristiques de l'image
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
G06T 7/44 - Analyse de la texture basée sur la description statistique de texture utilisant des opérateurs de l'image, p. ex. des filtres, des mesures de densité des bords ou des histogrammes locaux
In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06F 16/2457 - Traitement des requêtes avec adaptation aux besoins de l’utilisateur
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
53.
Analysis of reflections of projected light in varying colors, brightness, patterns, and sequences for liveness detection in biometric systems
Spoofed faces are unlikely to reflect a likeness detection image in the same manner as live faces. To determine likeness of a subject face, a likeness detection image is displayed on a screen of a face recognition device in the direction of the subject face, and a reflection image of the subject face is captured while the likeness detection image is displayed. The reflection image is analyzed to determine whether the reflection image contains any reflections of the likeness detection image, and a likeness determination is made based on the location and/or character of any such reflections.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
54.
ANALYSIS OF REFLECTIONS OF PROJECTED LIGHT IN VARYING COLORS, BRIGHTNESS, PATTERNS, AND SEQUENCES FOR LIVENESS DETECTION IN BIOMETRIC SYSTEMS
Spoofed faces are unlikely to reflect a liveness detection image in the same manner as live faces. To determine liveness of a subject face (604), a liveness detection image is displayed on a screen of a face recognition device (608) in the direction of the subject face, and a reflection image of the subject face (612) is captured while the liveness detection image is displayed. The reflection image is analyzed (616) to determine whether the reflection image contains any reflections of the liveness detection image, and a liveness determination is made based on the location and/or character of any such reflections (620).
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
55.
Automatic entity resolution with rules detection and generation system
Entity resolution (i.e., record linkage) involves the analysis/discovering of datasets that refer to the same real world entity. Analysis typically involves transformation and comparison of different fields of the dataset followed by the application of often domain/data specific logic for determining datasets that refer to the same real world entity (e.g., person). Consider, a bulk mailing of product catalogs to potential customers. Some individuals may have numerous public records that identify the individual differently. Illustratively, several records associated with Jane Doe at her current home address may exist: one record with her name listed as J. Doe, a second record as Jane H. Doe, a third record as Doe, Jane, and a fourth record as Jan Doe (a misspelling). Conceivably, the bulk mailing could unwittingly send multiple catalogs to Jane Doe at her current address, one for each name variation. The entity resolution process described herein can overcome such problems.
G06F 16/00 - Recherche d’informationsStructures de bases de données à cet effetStructures de systèmes de fichiers à cet effet
G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
A decentralized biometric identity authentication method utilizes biometrics captured on a mobile device to perform identity authentication against data that was registered as part of an identity proofing process and is thus trusted. The user registers his or her biometric using the user's mobile device and associates it with the user's electronic identity as part of a supervised identity proofing process, thus forming a proofed identity, and registers the proofed identity with a federated identity system. To later access the resources of the federated identity system, the user logs in with his or her biometrics. The methods described herein are useful, for example, in the travel, healthcare, and financial services fields.
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
57.
Biometric feature extraction using multiple image instantiations
Systems and methods acquire and/or generate multiple different images of the same biometric identity, identify specific instances of biometric features in each of the different images, and merge the identified specific instances of biometric features into a data record that provides a digital representation of the biometric identity. Examples of biometric identities include fingerprints, handprints, palm prints, and thumbprints. In one embodiment, a counter is associated with each specific instance of a biometric feature found in the multiple images. Specific instances of biometric features found most frequently have high counts and are indicative of true identifications; those with low counts are indicative of false identifications. A threshold distinguishes between true and false identifications. Those specific instances with counts below the threshold are excluded when the digital representation of the biometric identity is generated. Thus, the methodology eliminates false identifications of specific instances of biometric features while accentuating true identifications.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
As the use of facial biometrics expands in the commercial and government sectors, the need to ensure that human facial examiners use proper procedures to compare facial imagery will grow. Human examiners have examined fingerprint images for many years such that fingerprint examination processes and techniques have reached a point of general acceptance for both commercial and governmental use. The growing deployment and acceptance of facial recognition can be enhanced and solidified if new methods can be used to assist in ensuring and recording that proper examination processes were performed during the human examination of facial imagery.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
G06F 9/44 - Dispositions pour exécuter des programmes spécifiques
A61B 5/1171 - Identification des personnes basée sur la morphologie ou l’aspect de leur corps ou de parties de celui-ci
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A ridge flow based fingerprint image quality determination can be achieved independent of image resolution, can be processed in real-time and includes segmentation, such as fingertip segmentation, therefore providing image quality assessment for individual fingertips within a four finger flat, dual thumb, or whole hand image. A fingerprint quality module receives from one or more scan devices ridge-flow-containing imagery which can then be assessed for one or more of quality, handedness, historical information analysis and the assignment of bounding boxes.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/03 - Détection ou correction d'erreurs, p.ex. par une seconde exploration
60.
Relationship detection within biometric match results candidates
Systems and methods for enhancing confidence in a biometric search result include submitting one or more biometric samples to a biometric search engine. In response to the one or more submitted biometric samples, a plurality of candidates identified as potentially associated with the one or more submitted biometric samples is received from the biometric search engine. Each identified candidate has associated biographic information. The biographic information associated with each identified candidate is submitted to a relationship detection engine. In response to the submitted biographic information, an identified relationship between at least one of the identified candidates and one or more other individuals is received from the relationship detection engine.
G06F 16/00 - Recherche d’informationsStructures de bases de données à cet effetStructures de systèmes de fichiers à cet effet
G06F 16/951 - IndexationTechniques d’exploration du Web
G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
G07C 9/00 - Enregistrement de l’entrée ou de la sortie d'une entité isolée
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
A system and method of analyzing data receives a user-specified selection of a data source, a user-specified selection of a type of data representation, and a user-specified description of a view to be constructed in accordance with the user-specified selection of the type of data representation. An application program interface (API) function generates a multidimensional query based on the user-specified type of data representation and the user-specified description of the view to be constructed, and submits the multidimensional query to the an On-line Analytical Processing (OLAP) server. The application program interface (API) function receives a multidimensional response from the OLAP server containing results acquired by the multidimensional query of the data source, and generates the view based on the results contained in the multidimensional response and in accordance with the user-specified selection of the type of data representation and the user-specified description of the view.
Face recognition systems are vulnerable to the presentation of spoofed faces, which may be presented to face recognition systems, for example, by an unauthorized user seeking to gain access to a protected resource. A face liveness detection method that addresses this vulnerability utilizes motion analysis to compare the relative movement among three regions of interest in a facial image, and based upon that comparison to make a face liveness determination.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/34 - Découpage des formes se touchant ou se chevauchant dans la zone image
In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
A ridge flow based fingerprint image quality determination can be achieved independent of image resolution, can be processed in real-time and includes segmentation, such as fingertip segmentation, therefore providing image quality assessment for individual fingertips within a four finger flat, dual thumb, or whole hand image. A fingerprint quality module receives from one or more scan devices ridge-flow—containing imagery which can then be assessed for one or more of quality, handedness, historical information analysis and the assignment of bounding boxes.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/03 - Détection ou correction d'erreurs, p.ex. par une seconde exploration
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Software solutions and software-as-as-service (SaaS) featuring software for identity-related security functions; Software engineering services associated with delivery of solutions for biometrics, identity verification, mobile security and authentication, namely, software design and development in the fields of biometrics, identity, security, and authentication for fingerprint, face and iris modalities; Platform as a service (PAAS) services featuring computer software platforms for data processing and data management in the fields of biometrics, identity, security, and mobile and desktop authentication for fingerprint, face, voice, and iris modalities for biometrics, identity, security and authentication
41 - Éducation, divertissements, activités sportives et culturelles
44 - Services médicaux, services vétérinaires, soins d'hygiène et de beauté; services d'agriculture, d'horticulture et de sylviculture.
45 - Services juridiques; services de sécurité; services personnels pour individus
Produits et services
Employment agency services in the nature of an employment network for people with disabilities featuring a collection of businesses operated as traditional establishments for people with disabilities that allows them to be fully integrated into the workforce School-based and specialized educational services, namely, conducting classes, seminars, conferences, workshops and field trips that are focused on primarily low-income children and adolescents from birth to 18 years old and families with special needs in field of primary education skills, health, nutrition, and parent involvement services Psychological counseling, namely, psychiatry and clinical services for adults and children with special needs Personal support services in the field of human services, namely, emotional counseling and emotional support that helps children, adults, and families succeed in their communities primarily in the areas of mental health, developmental disabilities, early childhood, and disability employment
41 - Éducation, divertissements, activités sportives et culturelles
44 - Services médicaux, services vétérinaires, soins d'hygiène et de beauté; services d'agriculture, d'horticulture et de sylviculture.
45 - Services juridiques; services de sécurité; services personnels pour individus
Produits et services
Employment agency services in the nature of an employment network for people with disabilities featuring a collection of businesses operated as traditional establishments for people with disabilities that allows them to be fully integrated into the workforce School-based and specialized educational services, namely, conducting classes, seminars, conferences, workshops and field trips that are focused on primarily low-income children and adolescents from birth to 18 years old and families with special needs in field of primary education skills, health, nutrition, and parent involvement services Psychological counseling, namely, psychiatry and clinical services for adults and children with special needs Personal support services in the field of human services, namely, emotional counseling and emotional support that helps children, adults, and families succeed in their communities primarily in the areas of mental health, developmental disabilities, early childhood, and disability employment
41 - Éducation, divertissements, activités sportives et culturelles
44 - Services médicaux, services vétérinaires, soins d'hygiène et de beauté; services d'agriculture, d'horticulture et de sylviculture.
45 - Services juridiques; services de sécurité; services personnels pour individus
Produits et services
Employment agency services in the nature of an employment network for people with disabilities featuring a collection of businesses operated as traditional establishments for people with disabilities that allows them to be fully integrated into the workforce School-based and specialized educational services, namely, conducting classes, seminars, conferences, workshops and field trips that are focused on primarily low-income children and adolescents from birth to 18 years old and families with special needs in field of primary education skills, health, nutrition, and parent involvement services Psychological counseling, namely, psychiatry and clinical services for adults and children with special needs Personal support services in the field of human services, namely, emotional counseling and emotional support that helps children, adults, and families succeed in their communities primarily in the areas of mental health, developmental disabilities, early childhood, and disability employment
A system and method for recording, uploading, and archiving video recordings, including a front-end and a back-end application. The preferred embodiment of the present invention includes a front-end application wherein video is recorded using a mobile device. The recorded video is embedded with date, time and GPS location data. The video is stored on an online back-end database which catalogs the video according to the embedded data elements. The video may be selectively reviewed by relevant experts or emergency personnel for immediate response to the uploaded video and/or distribution to the proper parties. The video may also be archived for later review and use by any number of end-users.
G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet
H04N 5/77 - Circuits d'interface entre un appareil d'enregistrement et un autre appareil entre un appareil d'enregistrement et une caméra de télévision
H04N 5/91 - Traitement du signal de télévision pour l'enregistrement
H04N 21/258 - Gestion de données liées aux clients ou aux utilisateurs finaux, p. ex. gestion des capacités des clients, préférences ou données démographiques des utilisateurs, traitement des multiples préférences des utilisateurs finaux pour générer des données collaboratives
H04N 21/2743 - Hébergement vidéo de données téléchargées à partir du dispositif client
H04N 21/414 - Plate-formes spécialisées de client, p. ex. récepteur au sein d'une voiture ou intégré dans un appareil mobile
H04N 21/658 - Transmission du client vers le serveur
H04N 21/84 - Génération ou traitement de données de description, p. ex. descripteurs de contenu
G11B 27/32 - IndexationAdressageMinutage ou synchronisationMesure de l'avancement d'une bande en utilisant une information détectable sur le support d'enregistrement en utilisant des signaux d'information enregistrés par le même procédé que pour l'enregistrement principal sur des pistes auxiliaires séparées du même support d'enregistrement ou d'un support auxiliaire
70.
HIGH SPEED REFERENCE POINT INDEPENDENT DATABASE FILTERING FOR FINGERPRINT IDENTIFICATION
Methods and systems for high-speed filtering of candidate fingerprint images in a gallery using a non-reference-point based matching involving histograms of tokens representing minutia data. The method or system may involve detecting minutia patterns in a probe image, defining tokens that represent the minutia patterns detected in the probe image, measuring a degree of similarity between the probe image and each gallery image by comparing a probability of occurrence of a set of the tokens defined for the probe image with a probability of occurrence of the same set of tokens in that gallery image, and identifying as a candidate for a match to the probe image each gallery image for which the measured degree of similarity satisfies a criterion.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
G06K 9/46 - Extraction d'éléments ou de caractéristiques de l'image
A server system for distributing information securely includes a network interface for receiving, over a network, an information object accompanied by metadata. A repository stores the information object. Metadata is mapped to electronic addresses of trusted recipients. A processor is configured to generate a link for accessing the information object in the repository, acquire an electronic address of a trusted recipient based on the metadata accompanying the information object, insert the link into an electronic message addressed to the electronic address of the trusted recipient, and send the electronic message with the link to the trusted recipient. The processor is further configured to receive, over a second network, a request for the information object sent from a user device in response to an activation of the link, retrieve the information object from the repository, and transmit the information object to a browser of the user device over the second network.
G16H 10/60 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p. ex. pour des dossiers électroniques de patients
G06Q 50/24 - Gestion de dossiers médicaux (traitement de données médicales ou biologiques à des fins scientifiques G06F 19/00)
G06F 19/00 - Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des applications spécifiques (spécialement adaptés à des fonctions spécifiques G06F 17/00;systèmes ou méthodes de traitement de données spécialement adaptés à des fins administratives, commerciales, financières, de gestion, de surveillance ou de prévision G06Q;informatique médicale G16H)
Methods and computer systems execute biometric operations in parallel. The performance of a biometric operation includes receiving a job request to perform the biometric operation. The job request includes input data, identifies a database to be used in the performance of the biometric operation, and specifies a function to be performed. The biometric operation is restructured as one or more tasks. A number of entries in the database is assigned to each of the one or more tasks. An independent worker process is generated for each different core of the multi-core processor. Each task of the one or more tasks is assigned to one of the worker processes. Results produced by each worker process assigned one of the one or more tasks are collected. A result of the biometric operation based on the collected results is reported.
G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
G06F 9/28 - Augmentation de la vitesse de fonctionnement, p. ex. en utilisant plusieurs dispositifs de microcommande fonctionnant en parallèle
G06F 21/71 - Protection de composants spécifiques internes ou périphériques, où la protection d'un composant mène à la protection de tout le calculateur pour assurer la sécurité du calcul ou du traitement de l’information
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
G06F 21/83 - Protection des dispositifs de saisie, d’affichage de données ou d’interconnexion dispositifs de saisie de données, p. ex. claviers, souris ou commandes desdits claviers ou souris
G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
A blockchain database employs cryptography and other methods to implement and protect a distributed, publicly-amendable ledger. Transactions in a blockchain ledger are intentionally anonymous; however, there are cases where it would be useful to be able to verify or disprove a claim of identity of a contributor of a blockchain transaction. Biometrics can be used to link a human being to digital information using their unique physical traits in a way that is analogous to a handwritten or digital signature. An exemplary embodiment disclosed herein describes methods to create and store data in a blockchain transaction such that it can be used in the future to biometrically verify the identity of the contributor of the transaction, and use encoded biometric data to determine whether the blockchain transaction was created or not created by a particular individual.
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
H04L 9/00 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité
74.
AUTOMATIC ENTITY RESOLUTION WITH RULES DETECTION AND GENERATION SYSTEM
Entity resolution (i.e., record linkage) involves the analysis/discovering of datasets that refer to the same real world entity. Analysis typically involves transformation and comparison of different fields of the dataset followed by the application of often domain/data specific logic for determining datasets that refer to the same real world entity (e.g., person). Consider, a bulk mailing of product catalogs to potential customers. Some individuals may have numerous public records that identify the individual differently. Illustratively, several records associated with Jane Doe at her current home address may exist: one record with her name listed as J. Doe, a second record as Jane H. Doe, a third record as Doe, Jane, and a fourth record as Jan Doe (a misspelling). Conceivably, the bulk mailing could unwittingly send multiple catalogs to Jane Doe at her current address, one for each name variation. The entity resolution process described herein can overcome such problems.
G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet
G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p. ex. pour le traitement simultané de plusieurs programmes
As the use of facial biometrics expands in the commercial and government sectors, the need to ensure that human facial examiners use proper procedures to compare facial imagery will grow. Human examiners have examined fingerprint images for many years such that fingerprint examination processes and techniques have reached a point of general acceptance for both commercial and governmental use. The growing deployment and acceptance of facial recognition can be enhanced and solidified if new methods can be used to assist in ensuring and recording that proper examination processes were performed during the human examination of facial imagery.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/1171 - Identification des personnes basée sur la morphologie ou l’aspect de leur corps ou de parties de celui-ci
G06F 9/44 - Dispositions pour exécuter des programmes spécifiques
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
A ridge flow based fingerprint image quality determination can be achieved independent of image resolution, can be processed in real-time and includes segmentation, such as fingertip segmentation, therefore providing image quality assessment for individual fingertips within a four finger flat, dual thumb, or whole hand image. A fingerprint quality module receives from one or more scan devices ridge-flow-containing imagery which can then be assessed for one or more of quality, handedness, historical information analysis and the assignment of bounding boxes.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/03 - Détection ou correction d'erreurs, p.ex. par une seconde exploration
G06K 9/46 - Extraction d'éléments ou de caractéristiques de l'image
A technique for controlling the quality of one or more compressed images. The technique allows, for example, the selection of a target quality metric(s) and the compression of the image(s) such the compressed image(s) meets the metric(s). Alternatively, a target quality metric can be specified, and the image(s) compressed using parameters estimated to achieve the target quality. Optionally, the quality metric can also be made available to, for example, a user on an image processing system. The quality metrics can be, for example, for one or more layers, one or more images and/or one or more image sequences.
G06K 9/36 - Prétraitement de l'image, c. à d. traitement de l'information image sans se préoccuper de l'identité de l'image
H04N 19/147 - Débit ou quantité de données codées à la sortie du codeur selon des critères de débit-distorsion
H04N 19/172 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une zone de l'image, p. ex. un objet la zone étant une image, une trame ou un champ
H04N 19/12 - Sélection parmi plusieurs transformées ou standards, p. ex. sélection entre une transformée en cosinus discrète [TCD] et une transformée en sous-bandes ou sélection entre H.263 et H.264
78.
System and method of capturing and producing biometric-matching quality fingerprints and other types of dactylographic images with a mobile device
An optical module includes a housing with a lighting mechanism, an aperture formed therein, and a window that frames a transparent surface adapted to contact a skin surface of a person, for example, a fingertip. The lighting mechanism provides light to illuminate the skin surface placed upon the transparent surface. A prism has a first side facing the lighting mechanism, a second side at the window, and a third side through which a dactylographic image exits the prism. One or more light reflecting surfaces are disposed within the housing to reflect the dactylographic image towards the housing aperture. The optical module is coupled to a mobile device having a camera, with the aperture of the housing aligning with a lens of the camera. The camera acquires the dactylographic image, and the mobile device adjusts this dactylographic image to produce a dactylographic image suitable for biometric matching.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
A ridge flow based fingerprint image quality determination can be achieved independent of image resolution, can be processed in real-time and includes segmentation, such as fingertip segmentation, therefore providing image quality assessment for individual fingertips within a four finger flat, dual thumb, or whole hand image. A fingerprint quality module receives from one or more scan devices ridge-flow--containing imagery which can then be assessed for one or more of quality, handedness, historical information analysis and the assignment of bounding boxes.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/03 - Détection ou correction d'erreurs, p.ex. par une seconde exploration
G06K 9/46 - Extraction d'éléments ou de caractéristiques de l'image
Methods and computer systems execute biometric operations in parallel. The performance of a biometric operation includes receiving a job request to perform the biometric operation. The job request includes input data, identifies a database to be used in the performance of the biometric operation, and specifies a function to be performed. The biometric operation is restructured as one or more tasks. A number of entries in the database is assigned to each of the one or more tasks. An independent worker process is generated for each different core of the multi-core processor. Each task of the one or more tasks is assigned to one of the worker processes. Results produced by each worker process assigned one of the one or more tasks are collected. A result of the biometric operation based on the collected results is reported.
A technique for controlling the quality of one or more compressed images. The technique allows, for example, the selection of a target quality metric(s) and the compression of the image(s) such the compressed image(s) meets the metric(s). Alternatively, a target quality metric can be specified, and the image(s) compressed using parameters estimated to achieve the target quality. Optionally, the quality metric can also be made available to, for example, a user on an image processing system. The quality metrics can be, for example, for one or more layers, one or more images and/or one or more image sequences.
H04N 19/172 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une zone de l'image, p. ex. un objet la zone étant une image, une trame ou un champ
H04N 19/63 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant un codage par transformée utilisant une transformée en sous-bandes, p. ex. ondelettes
H04N 19/115 - Sélection de la taille du code pour une unité de codage avant le codage
H04N 19/61 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant un codage par transformée combiné avec un codage prédictif
H04N 19/179 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une scène ou une prise de vues
H04N 19/146 - Débit ou quantité de données codées à la sortie du codeur
A server system for distributing information securely includes a network interface for receiving, over a network, an information object accompanied by metadata. A repository stores the information object. Metadata is mapped to electronic addresses of trusted recipients. A processor is configured to generate a link for accessing the information object in the repository, acquire an electronic address of a trusted recipient based on the metadata accompanying the information object, insert the link into an electronic message addressed to the electronic address of the trusted recipient, and send the electronic message with the link to the trusted recipient. The processor is further configured to receive, over a second network, a request for the information object sent from a user device in response to an activation of the link, retrieve the information object from the repository, and transmit the information object to a browser of the user device over the second network.
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
G06F 19/00 - Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des applications spécifiques (spécialement adaptés à des fonctions spécifiques G06F 17/00;systèmes ou méthodes de traitement de données spécialement adaptés à des fins administratives, commerciales, financières, de gestion, de surveillance ou de prévision G06Q;informatique médicale G16H)
G06Q 50/24 - Gestion de dossiers médicaux (traitement de données médicales ou biologiques à des fins scientifiques G06F 19/00)
A system and method for recording, uploading, and archiving video recordings, including a front-end and a back-end application. The preferred embodiment of the present invention includes a front-end application wherein video is recorded using a mobile device. The recorded video is embedded with date, time and GPS location data. The video is stored on an online back-end database which catalogs the video according to the embedded data elements. The video may be selectively reviewed by relevant experts or emergency personnel for immediate response to the uploaded video and/or distribution to the proper parties. The video may also be archived for later review and use by any number of end-users.
H04N 5/77 - Circuits d'interface entre un appareil d'enregistrement et un autre appareil entre un appareil d'enregistrement et une caméra de télévision
G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet
H04N 5/91 - Traitement du signal de télévision pour l'enregistrement
G11B 27/10 - IndexationAdressageMinutage ou synchronisationMesure de l'avancement d'une bande
H04N 21/258 - Gestion de données liées aux clients ou aux utilisateurs finaux, p. ex. gestion des capacités des clients, préférences ou données démographiques des utilisateurs, traitement des multiples préférences des utilisateurs finaux pour générer des données collaboratives
H04N 21/414 - Plate-formes spécialisées de client, p. ex. récepteur au sein d'une voiture ou intégré dans un appareil mobile
H04N 21/658 - Transmission du client vers le serveur
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
H04N 21/2747 - Stockage à distance de programmes vidéo reçus via la voie descendante, p. ex. du serveur
H04N 21/2743 - Hébergement vidéo de données téléchargées à partir du dispositif client
H04N 21/422 - Périphériques d'entrée uniquement, p. ex. système de positionnement global [GPS]
G11B 27/32 - IndexationAdressageMinutage ou synchronisationMesure de l'avancement d'une bande en utilisant une information détectable sur le support d'enregistrement en utilisant des signaux d'information enregistrés par le même procédé que pour l'enregistrement principal sur des pistes auxiliaires séparées du même support d'enregistrement ou d'un support auxiliaire
H04N 5/765 - Circuits d'interface entre un appareil d'enregistrement et un autre appareil
H04N 9/82 - Transformation du signal de télévision pour l'enregistrement, p. ex. modulation, changement de fréquenceTransformation inverse pour la reproduction les composantes individuelles des signaux d'image en couleurs n'étant enregistrées que simultanément
A ridge flow based fingerprint image quality determination can be achieved independent of image resolution, can be processed in real-time and includes segmentation, such as fingertip segmentation, therefore providing image quality assessment for individual fingertips within a four finger flat, dual thumb, or whole hand image. A fingerprint quality module receives from one or more scan devices ridge-flow—containing imagery which can then be assessed for one or more of quality, handedness, historical information analysis and the assignment of bounding boxes.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/46 - Extraction d'éléments ou de caractéristiques de l'image
In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
A system and method for recording, uploading, and archiving video recordings, including a front-end and a back-end application. The preferred embodiment of the present invention includes a front-end application wherein video is recorded using a mobile device. The recorded video is embedded with date, time and GPS location data. The video is stored on an online back-end database which catalogs the video according to the embedded data elements. The video may be selectively reviewed by relevant experts or emergency personnel for immediate response to the uploaded video and/or distribution to the proper parties. The video may also be archived for later review and use by any number of end-users.
G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet
G11B 27/10 - IndexationAdressageMinutage ou synchronisationMesure de l'avancement d'une bande
G08B 13/196 - Déclenchement influencé par la chaleur, la lumière, ou les radiations de longueur d'onde plus courteDéclenchement par introduction de sources de chaleur, de lumière, ou de radiations de longueur d'onde plus courte utilisant des systèmes détecteurs de radiations passifs utilisant des systèmes de balayage et de comparaison d'image utilisant des caméras de télévision
H04N 5/77 - Circuits d'interface entre un appareil d'enregistrement et un autre appareil entre un appareil d'enregistrement et une caméra de télévision
H04N 21/258 - Gestion de données liées aux clients ou aux utilisateurs finaux, p. ex. gestion des capacités des clients, préférences ou données démographiques des utilisateurs, traitement des multiples préférences des utilisateurs finaux pour générer des données collaboratives
H04N 21/2747 - Stockage à distance de programmes vidéo reçus via la voie descendante, p. ex. du serveur
H04N 21/414 - Plate-formes spécialisées de client, p. ex. récepteur au sein d'une voiture ou intégré dans un appareil mobile
H04N 21/658 - Transmission du client vers le serveur
H04N 5/91 - Traitement du signal de télévision pour l'enregistrement
In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
A system and method of analyzing data receives a user-specified selection of a data source, a user-specified selection of a type of data representation, and a user-specified description of a view to be constructed in accordance with the user-specified selection of the type of data representation. An application program interface (API) function generates a multidimensional query based on the user-specified type of data representation and the user-specified description of the view to be constructed, and submits the multidimensional query to the an On-line Analytical Processing (OLAP) server. The application program interface (API) function receives a multidimensional response from the OLAP server containing results acquired by the multidimensional query of the data source, and generates the view based on the results contained in the multidimensional response and in accordance with the user-specified selection of the type of data representation and the user-specified description of the view.
Systems and methods for repairing cross-linked biometric records receive a set of biometric records. Each biometric record contains at least one biometric sample in a non-textual modality. One or more of the biometric records in the set of biometric records is potentially a cross-linked biometric record having at least two biometric samples that are associated with different individuals. Crosslink resolution is performed on the set of biometric records by searching for a match between a biometric sample in a given non-textual modality of a given biometric record with each biometric sample of the same given non-textual modality in each of the other biometric records in the set of biometric records. During the crosslink resolution, biometric sample may be removed from one biometric record and merged with another biometric record.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
A technique for controlling the quality of one or more compressed images. The technique allows, for example, the selection of a target quality metric(s) and the compression of the image(s) such the compressed image(s) meets the metric(s). Alternatively, a target quality metric can be specified, and the image(s) compressed using parameters estimated to achieve the target quality. Optionally, the quality metric can also be made available to, for example, a user on an image processing system. The quality metrics can be, for example, for one or more layers, one or more images and/or one or more image sequences.
H04N 19/147 - Débit ou quantité de données codées à la sortie du codeur selon des critères de débit-distorsion
H04N 19/172 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une zone de l'image, p. ex. un objet la zone étant une image, une trame ou un champ
H04N 19/63 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant un codage par transformée utilisant une transformée en sous-bandes, p. ex. ondelettes
H04N 19/61 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant un codage par transformée combiné avec un codage prédictif
H04N 19/154 - Qualité visuelle après décodage mesurée ou estimée de façon subjective, p. ex. mesure de la distorsion
H04N 19/179 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c.-à-d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant une scène ou une prise de vues
H04N 19/115 - Sélection de la taille du code pour une unité de codage avant le codage
A server system for distributing information securely includes a network interface for receiving, over a network, an information object accompanied by metadata. A repository stores the information object. Metadata is mapped to electronic addresses of trusted recipients. A processor is configured to generate a link for accessing the information object in the repository, acquire an electronic address of a trusted recipient based on the metadata accompanying the information object, insert the link into an electronic message addressed to the electronic address of the trusted recipient, and send the electronic message with the link to the trusted recipient. The processor is further configured to receive, over a second network, a request for the information object sent from a user device in response to an activation of the link, retrieve the information object from the repository, and transmit the information object to a browser of the user device over the second network.
G06F 21/00 - Dispositions de sécurité pour protéger les calculateurs, leurs composants, les programmes ou les données contre une activité non autorisée
G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p. ex. pour le traitement simultané de plusieurs programmes
In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
A technique for controlling the quality of one or more compressed images. The technique allows, for example, the selection of a target quality metric(s) and the compression of the image(s) such the compressed image(s) meets the metric(s). Alternatively, a target quality metric can be specified, and the image(s) compressed using parameters estimated to achieve the target quality. Optionally, the quality metric can also be made available to, for example, a user on an image processing system. The quality metrics can be, for example, for one or more layers, one or more images and/or one or more image sequences.
A ridge flow based fingerprint image quality determination can be achieved independent of image resolution, can be processed in real-time and includes segmentation, such as fingertip segmentation, therefore providing image quality assessment for individual fingertips within a four finger flat, dual thumb, or whole hand image. A fingerprint quality module receives from one or more scan devices ridge-flow—containing imagery which can then be assessed for one or more of quality, handedness, historical information analysis and the assignment of bounding boxes.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/03 - Détection ou correction d'erreurs, p.ex. par une seconde exploration
96.
Relationship detection within biometric match results candidates
Systems and methods for enhancing confidence in a biometric search result include submitting one or more biometric samples to a biometric search engine. In response to the one or more submitted biometric samples, a plurality of candidates identified as potentially associated with the one or more submitted biometric samples is received from the biometric search engine. Each identified candidate has associated biographic information. The biographic information associated with each identified candidate is submitted to a relationship detection engine. In response to the submitted biographic information, an identified relationship between at least one of the identified candidates and one or more other individuals is received from the relationship detection engine.
An optical module includes a housing with a lighting mechanism, an aperture formed therein, and a window that frames a transparent surface adapted to contact a skin surface of a person, for example, a fingertip. The lighting mechanism provides light to illuminate the skin surface placed upon the transparent surface. A prism has a first side facing the lighting mechanism, a second side at the window, and a third side through which a dactylographic image exits the prism. One or more light reflecting surfaces are disposed within the housing to reflect the dactylographic image towards the housing aperture. The optical module is coupled to a mobile device having a camera, with the aperture of the housing aligning with a lens of the camera. The camera acquires the dactylographic image, and the mobile device adjusts this dactylographic image to produce a dactylographic image suitable for biometric matching.
Systems and methods acquire and/or generate multiple different images of the same biometric identity, identify specific instances of biometric features in each of the different images, and merge the identified specific instances of biometric features into a data record that provides a digital representation of the biometric identity. Examples of biometric identities include fingerprints, handprints, palm prints, and thumbprints. In one embodiment, a counter is associated with each specific instance of a biometric feature found in the multiple images. Specific instances of biometric features found most frequently have high counts and are indicative of true identifications; those with low counts are indicative of false identifications. A threshold distinguishes between true and false identifications. Those specific instances with counts below the threshold are excluded when the digital representation of the biometric identity is generated. Thus, the methodology eliminates false identifications of specific instances of biometric features while accentuating true identifications.
G06F 9/00 - Dispositions pour la commande par programme, p. ex. unités de commande
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
A mobile application stored within the mobile device allows for file collection, transfer, and display on a smart device with G3, G4, EDGE, or similar data communication capabilities. The software is used in conjunction with information collection devices synced to a smart device via blue tooth technology, such as a fingerprinting device. The device will transfer a file to the smart device running the mobile application. The application will then encrypt the file and encode the file that is then packaged into a proprietary format. The file is then sent to a web location using the data transmission capability of the mobile device. The device will then monitor a file location of a web address for a return response. It will then get the file from the web location in a standard NIST approved format, extract information and images from the file, displaying them in a GUI.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
100.
Automated Biometric Identification System (ABIS) and method
A program for uploading images or direct scans of fingerprints into a computer system where they are then input into proper forms used in searching common databases. The system develops and saves files into types that are typically used in the biometric search industry, and these files are submitted to national fingerprint databases. This entire process is streamlined and reduces the amount of work and input required by the end user to a minimum. The program will reduce the user's amount of work necessary to submit a fingerprint search to national databases by simplifying the formatting of the submittal page for such national databases, resulting in a more efficient manner of preparing fingerprint search documents in appropriate formats. The program is fully customizable and can be used to satisfy the requirements of any national fingerprint database.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
