Abstract: A method of error logging includes: receiving from a user interface a first input from a user indicating that they have seen a visible error in a displayed graphical output of a computer application, tracking the gaze of the user to estimate the position, on at least a first display showing at least part of the displayed graphical output, at which the user's gaze is directed, receiving from the user interface a second input from the user indicating that they have identified the visible error with their gaze, capturing data relating to the displayed graphical output of the computer application, the data including a capture of at least part of the displayed graphical output including the identified visible error, and the estimated positon of the user's gaze with respect to the displayed graphical output, and generating an error report including the captured data.

Abstract: The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the verification score, and outputting an authentication result.

Abstract: Methods, systems and computer readable medium for liveness detection authentication of a facial image are provided. The method includes acquiring a first image of the facial image illuminated with a first color, acquiring a second image of the facial image illuminated with a second color, and determining if the facial image is consistent with a three-dimensional (3D) structure in response to a combination of the first and second images. The method further includes authenticating the facial image if the facial image is consistent with a 3D structure and the facial image matches a face of user to be authenticated.

Abstract: A fingerprint image processing device includes a memory, and a processor coupled to the memory. The processor performs operations. The operations include reading a tenprint card image which includes a plurality of fingerprint patterns and at least one ruled line to separate one fingerprint imprint area from another fingerprint imprint area, and extracting from the tenprint card image a fingerprint image which includes at least one of the fingerprint patterns, apart of a fingerprint imprint area, and a part of a next fingerprint imprint area.

Abstract: Entrance and exit of a person is efficiently managed by simple authentication and registration of entrance and exit using a communication terminal carried by the person.

Abstract: The present disclosure provides for methods for signature and identity verification and authentication. The system may comprise a plurality of visual capture devices, virtual data, and a plurality of virtual databases. The plurality of visual capture devices may capture a photo or video of the signee, the signature, a witness, or a combination thereof. The system may comprise a plurality of auxiliary authentication components for recording data such as the date, time, and location of the signature verification, as non-limiting examples. The virtual data may comprise visual data and other metadata. The method may comprise uploading the virtual data collected during the signature verification to a blockchain, where a signature authentication may occur or be recorded. Auxiliary authentication devices may include a plurality of audio capture devices, a plurality of geospatial capture devices, such as accelerometers or GPS, a plurality of pressure sensors, or any combination thereof, as non-limiting examples.

Abstract: An apparatus for classifying a user to an electronic authentication card, the apparatus comprising at least a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the at least a processor to receive user data comprising a transaction history, identify a plurality of authentication card parameters as a function of user input, determine a plurality of access rights as a function of user data and the plurality of authentication card parameters and generate an access pairing data structure linking the plurality of access rights to the authentication card.

Abstract: A system for managing the elevation of a workstation, the system comprising a frame, a worktop having an upper worksurface, at least a first powered vertical-displacement drive mechanism connected between the frame and the worktop and arranged to selectively vertically displace the worktop with respect to the frame, a presence sensor and a processor linked to the drive mechanism and the sensor, the processor using information from the presence sensor to track user presence at the workstation and, upon detecting that the workstation is unoccupied, automatically controlling the drive mechanism to move the worktop from a current height to a scheduled height.

Abstract: A vehicle having powered door access is provided including a powered door having an actuator for moving the door between closed and open positions, at least one sensor for sensing a first user approaching the vehicle, and a transceiver for communicating with another vehicle. The vehicle also includes a controller determining a distance of the first user from the vehicle and communicating with the other vehicle which determines a second user from the other vehicle, wherein the controller prioritizes which of the vehicle and the other vehicle is granted permission to open a door based on the distances of the first user and the second user.

Abstract: Systems and processes for improved processing of biometric data may include a hash controller including a processor, a server, and a registry. The hash controller can receive biometric information, such as a biometric scan, and apply an EGH transformation to convert the biometric information into an irreversible, unlinkable, and revocable EgHash. The EGH transformation can include blending biometric information with non-biometric information and permuting the biometric representation for additional security. The permuted biometric representation can be projected based on a randomly generated matrix and the output permuted to obtain an EgHash. The resultant EgHash can be lossy such that the EGH transform causes an irreversible loss of biometric information between the original biometric information and the EgHash. The EgHash can be compared and retrieved at speed and scale by the processor to support operations including, but not limited to, verification, identification, and database deduplication.

Abstract: Systems and processes for improved processing of biometric data may include a hash controller including a processor, a server, and a registry. The hash controller can receive biometric information, such as a biometric scan, and apply an EGH transformation to convert the biometric information into an irreversible, unlinkable, and revocable EgHash. The EGH transformation can include blending biometric information with non-biometric information and permuting the biometric representation for additional security. The permuted biometric representation can be projected based on a randomly generated matrix and the output permuted to obtain an EgHash. The resultant EgHash can be lossy such that the EGH transform causes an irreversible loss of biometric information between the original biometric information and the EgHash. The EgHash can be compared and retrieved at speed and scale by the processor to support operations including, but not limited to, verification, identification, and database deduplication.

Abstract: The facial verification apparatus is a mobile computing apparatus, including a camera to capture an image, a display, and one or more processors. While in a lock state, the image is captured and facial verification performed using a face image, or using a detected face and in response to the face being detected. The facial verification includes a matching with respect to the detected face, or obtained face image, and a registered face information. If the verification is successful, the lock state of the apparatus may be canceled and the user allowed access to the apparatus. The lock state may be cancelled when the verification is successful and the user has been determined to have been attempting to gain access to the apparatus. Face image feedback to the user may not be displayed during the detecting for, or obtaining of, the face and/or performing of the facial verification.

Abstract: The technology described in this document can be embodied in a method that includes obtaining, by one or more image acquisition devices, a first image of a portion of a human body under illumination by electromagnetic radiation in a first wavelength range, and obtaining a second image of the portion of the human body under illumination by electromagnetic radiation in a second wavelength range. The method also includes generating, by one or more processing devices, a third image or template that combines information from the first image with information from the second image. The method also includes determining that one or more metrics representing a similarity between the third image and a template satisfy a threshold condition, and responsive to determining that the one or more metrics satisfy a threshold condition, providing access to the secure system.

Abstract: A method for training a deep learning network for face recognition includes: utilizing a face landmark detector to perform face alignment processing on at least one captured image, thereby outputting at least one aligned image; inputting the at least one aligned image to a teacher model to obtain a first output vector; inputting the at least one captured image a student model corresponding to the teacher module to obtain a second output vector; and adjusting parameter settings of the student model according to the first output vector and the second output vector.

Abstract: A method including encrypting, by a multiuser device, a first folder based on utilizing a first symmetric key and a second folder based on utilizing a second symmetric key, the first folder and the second folder being stored on the multiuser device; encrypting, by the multiuser device, the first symmetric key based on utilizing a first assigned public key and the second symmetric key based on utilizing a second assigned public key; and providing access, by the multiuser device, to the encrypted first folder by decrypting the encrypted first symmetric key based on verifying first biometric information and to the encrypted second folder by decrypting the encrypted second symmetric key based on verifying second biometric information, the first biometric information being different from the second biometric information is disclosed. Various other aspects and techniques are contemplated.

Abstract: A computer-implemented method, a computer system, and a computer program product for managing physical objects. A computer system associates a physical object of a set of physical objects with an object identifier. The computer system obtains a digital fingerprint, from a unique physical property of the physical object, wherein the digital fingerprint is impacted by the unique physical property. The computer system obtains a dataset from the object identifier and the digital fingerprint. The computer system cryptographically signs the dataset to obtain a signature. The computer system instructs to store the object identifier and the signature on a data storage device.

Abstract: Systems and methods are provided which allow for motion-based authentication of a user using magnified motion. Very small or imperceptible motions of a user may be captured and magnified to determine characteristics of the motions that may be used as a motion-based credential for user authentication. The motions, which may be very small and imperceptible to an observer, may be difficult for potential attackers to observe and copy, but may be useful when magnified.

Abstract: Various embodiments enable computers to automatically create photographic lineups for police use and, in so doing, eliminate risks associate with subject judgment involved in human selection of fillers for such photographic lineups. Moreover, various improve the reliability of photographic lineups by selecting images of fillers that are similar to, but not too similar to, an image of the suspect.

Abstract: A fingerprint capture system, a fingerprint capture device, an image processing apparatus, a fingerprint capture method, and a storage medium that can acquire a high quality fingerprint image are provided. A disclosed example includes: a capture unit that captures a fingerprint; an image processing unit that processes a transferred fingerprint image captured by the capture unit; a display unit on which the fingerprint image transferred to the image processing unit is displayed; a recording unit where the fingerprint image transferred to the image processing unit is recorded by the image processing unit; and an instruction unit that inputs, in the image processing unit, a record instruction that instructs the image processing unit to record the fingerprint image in the recording unit. The image processing unit records, in the recording unit, the fingerprint image displayed on the display unit at the time the record instruction is input by the instruction unit.

Abstract: A weight estimation unit estimates, from a person's image in which a person is included, a weight of a human body part of the person in accordance with an existence probability of the human body part of the person. A feature creation unit creates a feature for verification based on a weight of the person's image and a weight estimated by the weight estimation unit. A verification feature storage unit stores a feature of the person who is the object of verification as a verification feature. A person verification unit compares the feature for verification created by the feature creation unit and the verification feature stored in the verification feature storage unit.

Abstract: A liveliness prediction output is provided from a liveliness biometric analysis task that is determined by a deep neural network based on an image provided from an image sensor wherein the liveliness biometric analysis task is performed in a deep neural network that includes a common feature extraction neural network and a plurality of task-specific neural networks including a face detection neural network, a body pose neural network and a liveliness neural network including a region of interest (ROI) detection neural network and a texture analysis neural network to determine the liveliness biometric analysis task by inputting the image to the common feature extraction neural network to determine latent variables. The latent variables can be input to the face detection neural network and the liveliness neural network. Output from the face detection neural network can be input to the ROI detection neural network.

Abstract: A weight estimation unit estimates, from a person's image in which a person is included, a weight of a human body part of the person in accordance with an existence probability of the human body part of the person. A feature creation unit creates a feature for verification based on a weight of the person's image and a weight estimated by the weight estimation unit. A verification feature storage unit stores a feature of the person who is the object of verification as a verification feature. A person verification unit compares the feature for verification created by the feature creation unit and the verification feature stored in the verification feature storage unit.

Abstract: A weight estimation unit estimates, from a person's image in which a person is included, a weight of a human body part of the person in accordance with an existence probability of the human body part of the person. A feature creation unit creates a feature for verification based on a weight of the person's image and a weight estimated by the weight estimation unit. A verification feature storage unit stores a feature of the person who is the object of verification as a verification feature. A person verification unit compares the feature for verification created by the feature creation unit and the verification feature stored in the verification feature storage unit.

Abstract: Systems and processes for improved processing of biometric data may include a hash controller including a processor, a server, and a registry. The hash controller can receive biometric information, such as a biometric scan, and apply an EGH transformation to convert the biometric information into an irreversible, unlinkable, and revocable EgHash. The EGH transformation can include blending biometric information with non-biometric information and permuting the biometric representation for additional security. The permuted biometric representation can be projected based on a randomly generated matrix and the output permuted to obtain an EgHash. The resultant EgHash can be lossy such that the EGH transform causes an irreversible loss of biometric information between the original biometric information and the EgHash. The EgHash can be compared and retrieved at speed and scale by the processor to support operations including, but not limited to, verification, identification, and database deduplication.

Abstract: Images of a hand are obtained by a camera. These images may depict the fingers and palm of the user. A pose of the hand relative to the camera may vary due to rotation, translation, articulation of joints in the hand, and so forth. One or more canonical images are generated by mapping the images to a canonical model. A first embedding model is used to determine a first embedding vector representative of the palm as depicted in the canonical images. A second embedding model is used to determine a set of second embedding vectors, each representative of individual fingers as depicted in the canonical images. Embedding distances in the embedding space from the embedding vectors to a closest match of previously stored embedding vectors are multiplied together to determine an overall distance. If the overall distance is less than a threshold value, an identity of a user is asserted.

Abstract: A method, apparatus, and computer program product are disclosed that improve the efficiency and speed with which promotions can be generated. The method includes creating a promotion builder document, wherein the promotion builder document comprises a set of data elements guiding assembly of a promotion. The method further includes storing the promotion builder document in a memory connected to a computer network, and authorizing, by a processor, one or more remote users to access, via the computer network, the promotion builder document. The method further includes modifying the promotion builder document in response to instructions from at least one of the one or more remote users and assembling the promotion based on the promotion builder document. A corresponding apparatus and computer program product are described herein.

Abstract: A method may include: receiving an image of a mouth region of a patient's face; extracting teeth contours within the image of the mouth region of the patient's face; locating a mouth opening within the image of the mouth region of the patient's face; extracting the tooth contours from a 3D model of the patient's teeth; and aligning the tooth contours from the 3D model with the tooth contours of the teeth within the image of the mouth region of the patient's face.

Abstract: A system and method for detecting a potential match between a candidate facial image and a dataset of facial images is described. Some implementations of the invention determine whether a candidate facial image (or multiple facial images) of a person taken, for example, at point of entry corresponds to one or more facial images stored in a dataset of persons of interest (e.g., suspects, criminals, terrorists, employees, VIPs, “whales,” etc.). Some implementations of the invention detect potential fraud in a dataset of facial images. In a first form of potential fraud, a same facial image is associated with multiple identities. In a second form of potential fraud, different facial images are associated with a single identity, as in the case, for example, of identity theft. According to various implementations of the invention, spectral clustering techniques are used to determine a likelihood that pairs of facial images (or pairs of facial image sets) correspond to the person or different persons.

Abstract: Techniques are described herein for dialog-based enrollment of individual users for single- and/or multi-modal recognition by an automated assistant, as well as determining how to respond to a particular user's request based on the particular user being enrolled and/or recognized. Rather than requiring operation of a graphical user interface for individual enrollment, dialog-based enrollment enables users to enroll themselves (or others) by way of a human-to-computer dialog with the automated assistant.

Abstract: Some disclosed methods involve randomly or pseudo-randomly selecting one fingerprint authentication case from a plurality of fingerprint authentication cases stored in a memory, each of the fingerprint authentication cases corresponding to one or more fingerprints used during an authentication process, the fingerprint authentication cases including a plurality of multiple-fingerprint authentication cases for which two or more fingerprints are used during the authentication process.

Abstract: Systems and methods for generating and validating certified electronic credentials are disclosed. A publisher may receive a certified electronic credential order from a credentialer and prepare a plurality of certified electronic credentials. The publisher may associate each credential with authentication information and a credential record, and retain a database of associated authentication information and credential records. The publisher may provide validation services, receiving a validation request through a credentialer's validation portal, and provide a response through the credentialer's portal indicative of the validity, additional information about the credential and/or the credential holder. The credential holder may assign a personal access key to control or limit the validation of a credential. A validating entity may receive credential validation through the credentialer with a heightened degree of confidence in the validation and lack of forgery.

Abstract: Systems and methods for generating and validating certified electronic credentials are disclosed. A certified electronic credential may comprise a computer-readable file representative of a credential bestowed upon a recipient, in which the file is protected with one or more document integrity and document usage security feature. A publisher may receive a certified electronic credential order from a credentialer and prepare a plurality of certified electronic credentials. The publisher may associate each credential with authentication information and a credential record, and retain a database of associated authentication information and credential records. The publisher may provide validation services, receiving a validation request through a credentialer's validation portal, and provide a response through the credentialer's portal indicative of the validity, additional information about the credential, and even an audit trail.

Abstract: An authentication system is disclosed here to locally store and authenticate user data associated with a user. The authentication system comprises a biometric engine, a local database, a requesting module, and an authentication engine. The biometric engine stores biometric identification of the user for registration, which is retrieved using a user owned mobile device. The local database stores the user data associated with the user after the registration, and is in communication with the biometric engine via a client application. The requesting module is in communication with a processor to request an authentication of the user data, which is accepted if the request matches the identified user data. The authentication engine authenticates the user data by verifying the user data against one or more of the biometric identifications, and generate an authentication message that is sent to a proprietor that requests for the authentication of the user data.

Abstract: A method and system (102) for grouping same persons are provided. The system (102) includes: a database (104) for storing person specific data of a plurality of reference persons in a hierarchical structure; an input module (206) for receiving person specific data of a target person; and a similarity search module (212) for searching the database (104) for data similar to the person specific data of the target person.

Abstract: A housing of a light emission/reception device includes a housing body and a window member. The housing body has an opening and accommodates a light emitting unit having one or more light emitting elements, and a light receiving unit having one or more light receiving elements. The window member covers the opening of the housing body, enables emitted light that is emitted from the light emitting unit to be transmitted therethrough toward the exterior of the housing, and enables incident light from the exterior of the housing to be transmitted therethrough, so that the incident light enters the light receiving unit. Also, the window member is provided with a propagation suppressing member configured to suppress propagation of light within the window member.

Abstract: Entrance and exit of a person is efficiently managed by simple authentication and registration of entrance and exit using a communication terminal carried by the person.

Abstract: A fingerprint image processing device includes a memory, and a processor coupled to the memory. The processor performs operations. The operations include reading a tenprint card image which includes a plurality of fingerprint patterns and at least one ruled line to separate one fingerprint imprint area from another fingerprint imprint area, and extracting from the tenprint card image a fingerprint image which includes at least one of the fingerprint patterns, apart of a fingerprint imprint area, and a part of a next fingerprint imprint area.

Abstract: Tissue surface tracking of tissue features is disclosed. First surface imaged features are tracked based on the first and second time spaced images at a first wavelength. Second surface imaged features are tracked based on the first and second time spaced tissue surface images at the second wavelength. Tracking metrics are obtained based on the tracking steps. The tracking steps are combined to provide a combined tracking metric. The combined tracking metric is used in a tissue surface navigation application.

Abstract: Systems and methods for authenticating a user in an authentication system using a computing device configured to capture authentication biometric identity information. The authentication biometric identify information captured during an authentication session. The authentication biometric identify information may comprise or be derived from one or more images of the user being authenticated. The authentication biometric identify information is compared to root identify biometric information. The root identify biometric information is captured from a trusted source, such as trusted devices located at trusted locations, such as a government entity, financial institution, or business. Identity verification may occur by comparing the trusted root identify biometric information to the biometric identify information captured during an authentication session. Liveness determination may also occur to verify the user is a live person.

Abstract: A palm vein identification system includes a palm vein scanning device to capture a scan of a vein pattern of a candidate; the database having a groups, each group having a records, each records associated with a candidate record; the server having a processing unit to receive the scan from the communication system; create an image file associated with the scan; determine which of the groups the scan fits into; and narrow down a match associated with the scan based on which of the groups the scan fits into; the server authenticates the candidate based on the match.

Abstract: A method including determining, by a first device, unavailability of a first biometric unit associated with the first device for verification of first biometric information; selecting, by the first device based on determining unavailability of the first biometric unit, a second biometric unit associated with a second device for verification of second biometric information; receiving, by the first device from the second device based on a first verification of the second biometric information, a first factor associated with authentication of the first device by a service provider; receiving, by the first device from the second device based on successful authentication of the first factor and on a second verification of the second biometric information, a second factor associated with authentication of the first device by the service provider; and receiving, by the first device from the service provider, a service based on successful authentication of the second factor.

Abstract: An image processing device includes: a measuring unit that measures a light quantity; an identification unit that identifies a region within an image-capturing range using the measured light quantity, the region having a light quantity higher than or equal to a predetermined light quantity; a setting unit that sets an image-capturing angle so that the identified region is out of the image-capturing range; and an image-capturing unit that captures an image for authentication at the image-capturing angle set by the setting unit.

Abstract: A method of configuring or changing a configuration of a POS terminal by at least one operator, in which an authorization of the operator by the POS terminal is established, in which after successful authorization of the at least one operator, the at least one operator carries out the configuration or change of the configuration, in which an identification feature for identification of the at least one operator is introduced into the POS terminal, in which this identification feature is used for authorizing the at least one operator. A method of associating a POS terminal with an operator, in which the POS terminal checks the integrity of the identification feature of the operator for identification of the operator, with which the POS terminal is associated.

Abstract: A method for identifying a user using an image of an object of the user that has a biometric characteristic of the user, like a fingerprint or a set of fingerprints of fingertips, the method comprising: obtaining, by an optical sensor of a mobile device, the image of the object; providing the image to a neural network; processing the image by the neural network, thereby identifying both, the position of the object and the object in the image; extracting, from the identified object, the biometric characteristic; storing the biometric characteristic in a storage device and/or providing at least the biometric characteristic as input to an identification means, comprising processing the input in order to determine whether the biometric characteristic identifies the user.

Abstract: A system receives an image including a live facial image of the user and an identity document including a photograph of the user. Moreover, the system calculates a facial match score by comparing facial features in the live facial image to facial features in the photograph. The system recognizes data objects and characters in the identity document using optical character recognition (OCR) and computer vision, and then identifies, based on the recognized data objects and characters, a type of the identity document. Further, the system calculates a document validity score by comparing the recognized characters and data objects to character strings and data objects known to be present in the identified type of the identity document. Additionally, the system determines and outputs the user's identity verification status based on comparing the facial match score to a facial match threshold and comparing the document validity score to a document validity threshold.

Abstract: A weight estimation unit estimates, from a person's image in which a person is included, a weight of a human body part of the person in accordance with an existence probability of the human body part of the person. A feature creation unit creates a feature for verification based on a weight of the person's image and a weight estimated by the weight estimation unit. A verification feature storage unit stores a feature of the person who is the object of verification as a verification feature. A person verification unit compares the feature for verification created by the feature creation unit and the verification feature stored in the verification feature storage unit.

Abstract: A data processing method is proposed, including: sensing, via at least one sensing portion, target information of a target device; receiving and processing, via an electronic device, the target information of the sensing portion to form feature information; processing, via the electronic device, the feature information into a label matrix, and establishing, via an artificial intelligence training method, a target model based on the label matrix; and after the electronic device captures real-time information of the target device, predicting, via the target model, a life limit of the target device, wherein a content of the target information is corresponding to a content of the real-time information. Thus, a good target model is constituted and is advantageous in training artificial intelligence by processing the feature information into the label matrix.

Abstract: A system and method and for verifying that distorted biometric information submitted to a computing device is authentic. In various embodiments, the method includes receiving a signal indicative of a distorted biometric of a person; determining a DNA sequence code of the signal indicative of the distorted biometric signal; generating a first dataset based on the DNA sequence code; hashing the first dataset to obtain a second dataset; encrypting the second dataset; storing the encrypted second dataset into a blockchain; comparing the second dataset to a test dataset to determine if the second and test datasets are from a related data source and remain unchanged from the distorted biometric of the person; and updating a new transaction record on the blockchain to indicate that the blockchain transaction has been validated.

Abstract: Methods and systems for multifactor authentication and authorization are described. A method includes receiving captured image data of a person with a badge needing access to a secure area, detecting at least two faces from the captured image data, identifying a first name based on matching a face associated with a live human face with a control face in a database, identifying a second name based on matching on another face associated with the badge with a control face in a database, performing character recognition on text associated with the another face, comparing the second name with the character recognized text, comparing the second name with the first name when the second name matches the character recognized text, checking access rights, checking for at least another person in a proximity of the secure area, and granting access when the person is sole person accessing the secure area.

Abstract: An authentication system accesses an image of a face of a user. The face of the user is partially covered by a facial mask. The authentication system detects an area on the facial mask and generates a first identification of the user based on the area on the facial mask. The authentication system also detects an exposed area uncovered by the facial mask on the face of the user and generates a second identification of the user based on the exposed area. The authentication system compares the first identification of the user with the second identification of the user, and authenticates the user based on the comparison.