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 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 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 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.

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, a part of a fingerprint imprint area, and a part of a next fingerprint imprint area.

Abstract: An online system matches a user across multiple online systems based on image data for the user (e.g., profile photo) regardless whether the image data is from the online system, a different but related online system or a third party system. For example, to match the user across a social networking system and INSTAGRAM™ system, the online system compares the similarity between images of the user from both systems in addition to similarity of textual information in the user profiles on both systems. The similarity of image data and the similarity of textual information associated with the user are used by the online system as indicators of matched user accounts belonging to the same user across both systems. The online system applies models trained using deep learning techniques to match a user across multiple online systems based on the image data and textual information associated with the user.

Abstract: A computer-implemented method, a computer system, and a computer program product for managing relationships between persons and physical objects based on identifiers. A computer system configures a user device to be capable of interacting with each of a first database and a second database. The computer system verifies, by interacting with the second database, that a given object of the physical objects is a genuine object, based on a given object identifier of the given object and a digital fingerprint detected from a physical fingerprint of the given object. The computer system requests, via the first database, a transfer of a given relationship from a first person to a second person with respect to the given object, based on the given object identifier and a person identifier of the second person.

Abstract: An electronic device performs techniques related generally to implementing biometric authentication. In some examples, a device provides user interfaces for a biometric enrollment process tutorial. In some examples, a device provides user interfaces for aligning a biometric feature for enrollment. In some examples, a device provides user interfaces for enrolling a biometric feature. In some examples, a device provides user interfaces for providing hints during a biometric enrollment process. In some examples, a device provides user interfaces for application-based biometric authentication. In some examples, a device provides user interfaces for autofilling biometrically secured fields. In some examples, a device provides user interfaces for unlocking a device using biometric authentication. In some examples, a device provides user interfaces for retrying biometric authentication. In some examples, a device provides user interfaces for managing transfers using biometric authentication.

Abstract: The feature extraction device according to one aspect of the present disclosure comprises: a reliability determination unit that determines a degree of reliability with respect to a second region, which is a region that has been extracted as a foreground region of an image and is within a first region that has been extracted from the image as a partial region containing a recognition subject, said degree of reliability indicating the likelihood of being the recognition subject; a feature determination unit that, on the basis of the degree of reliability, uses a first feature which is a feature extracted from the first region and a second feature which is a feature extracted from the second region to determine a feature of the recognition subject; and an output unit that outputs information indicating the determined feature of the recognition subject.

Abstract: A method includes authenticating, by a computing device, a first connection between one or more storage units and at least one of the computing device and a first user computing device. The method further includes determining, by the computing device, to add a second connection between the one or more storage units and at least one of the computing device and a second user computing device. The method further includes generating, by the computing device, a secret code and sending the secret code to the one or more storage units via the first connection. The method further includes sending, by the one or more storage units, responses to the secret code to the computing device via the second connection. The method further includes authenticating, by the computing device, the second connection based on the authentication of the first connection and the responses from the one or more storage units.

Abstract: A bio-sensor device, integrated with a display portion, includes a surface for touching by a body part, such as a finger. A light source, such as an array of LEDs, emit light through the surface so as to be reflected and partially absorbed by the body part An array of photodetectors detects light reflected back by the body part and generates signals corresponding to an image of the light reflection, which corresponds to the light absorption pattern in the body part. The light absorption pattern may correlate to a fingerprint, a blood vessel pattern, blood movement within the blood vessels, combinations thereof, or other biometric feature. A processor receives the signals from the photodetectors and analyzes the signals to determine a characteristic of the body part. The characteristic may be used to authenticate the user of the bio-sensor device by comparing the detected characteristic to a stored characteristic.

Abstract: A control arrangement (20) for an entrance system (10) having one or more movable door members (D1 . . . Dm) and an automatic door operator (30) for causing movements of the one or more movable door members (D1 . . . Dm) between closed and open positions is provided. The control arrangement (20) comprising a controller (32) configured to control operation of the automatic door operator (30) in a selected operating mode among a plurality of operating modes. The control arrangement (20) is characterized in that it comprises communication means (58), and the controller (32) is configured to communicate via the communication means (58) with an external computing resource (110) to set the selected operating mode.

Abstract: A method and apparatus for creating a composite image of a person is provided herein. During operation, a witness is presented with a plurality of attributes of an individual. A witness selection of an attribute is received from the presented attributes. Images of individuals who were at an incident scene at a time of the incident are received and analyzed to determine images of those individuals with attributes similar to the attribute selected by the witness. The images of those individuals with the attributes similar to the attribute selected by the witness are processed by redacting information from the images to produce a plurality of processed images. The witness is then presented with the plurality of processed images.

Abstract: Face authentication can easily be performed based on an input image including a mirror region reflected by a mirror without increasing a storage capacity of a database. With the database, for each face of a person to be authenticated, only one real front image is to be registered as a reference face image. A mirror image processing circuitry detects the mirror region from the input image and to subject a detected mirror region to lateral inversion processing to produce a processed image. A face detection processing circuitry detects a face image from the processed image to generate a detected face image. A face authentication processing circuitry compares the detected face image with the reference face image, to thereby perform face authentication.

Abstract: The present disclosure can provide a person re-identification apparatus and method that includes an identity feature extraction part configured to receive a multiple number of images each including a person requiring re-identification, extract features related to an identity of a person included in each image according to a pattern estimation method learned beforehand, and obtain an identity-related feature vector for each image; and a re-identification determination part configured to analyze a degree of similarity between an identity-related feature vector obtained for a base image including a search target from among the plurality of images and an identity-related feature vector obtained for another image to determine whether or not a person corresponding to the search target is included in the other image.

Abstract: A light-beam emitter and a display device are provided. The light-beam emitter includes a main body, and a light-emitting assembly, a projection button, an operation button, and a control assembly disposed on the main body; wherein the control assembly is connected to the projection button, the operation button, and the light-emitting assembly, the control assembly is configured to control the light-emitting assembly to emit a projection beam when the projection button is pressed, and the control assembly is configured to control the light-beam emitter to perform a corresponding operation when the operation button is pressed.

Abstract: Systems and methods of identifying unknown video content are described. An example method may include receiving a first fingerprint and a second fingerprint. The first fingerprint may be a color-based fingerprint derived from colors in a portion of the unknown video content, and the second fingerprint may be at least partially based on a feature other than the colors of the unknown video content. A reference database of reference fingerprints may then be queried using one of the first fingerprint or the second fingerprint to obtain a candidate group of fingerprints. The candidate group of fingerprints may then be queried using the other of the first fingerprint and the second fingerprint to identify at least one query fingerprint. The unknown video content may then be identified using the at least one query fingerprint.

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.