Abstract: A fingerprint sensor is provided and includes substrate; sensor electrodes arranged on substrate; first switches coupled to sensor electrodes; organic layer covering sensor electrodes; control line drive circuit in a first direction; signal line drive circuit in a second direction orthogonal to the first direction; signal lines coupled to the first switches; control lines coupling first switches to control line drive circuit; sensor drive electrode surrounding sensor electrodes; second switches between signal line drive circuit and signal lines; first number of third switches between signal line drive circuit and first number of second switches, wherein surface of organic layer is lower than sensor drive electrode, and wherein first number is less than number of all second switches.

Abstract: A personal identification system to be applied to a vehicle includes first and second display units, an imaging unit, a display image processor, and a personal identification processor. The first display unit is provided vehicle-widthwise halfway and vehicle-lengthwise in front of a driver's seat of the vehicle. The second display unit fronts onto the driver's seat. The imaging unit is provided on the outer periphery of the first display unit. The personal identification processor makes personal registration and personal identification of a driver seated on the driver's seat based on at least first and second facial images. The first facial image includes an image of the driver's face captured by the imaging unit with the driver's gaze directed toward the first display unit. The second facial image includes an image of the driver's face captured by the imaging unit with the driver's gaze directed toward the second display unit.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for image processing using deep neural networks. One of the methods includes receiving data characterizing an input image; processing the data characterizing the input image using a deep neural network to generate an alternative representation of the input image, wherein the deep neural network comprises a plurality of subnetworks, wherein the subnetworks are arranged in a sequence from lowest to highest, and wherein processing the data characterizing the input image using the deep neural network comprises processing the data through each of the subnetworks in the sequence; and processing the alternative representation of the input image through an output layer to generate an output from the input image.

Abstract: The present disclosure generally relates techniques for audio-assisted enrollment of biometric features. In some embodiments, methods and devices for assisting users with enrollment of biometric features, using spatial audio cues, are described.

Abstract: A display screen, an electronic device, and a fingerprint recognition method are provided in the present disclosure. The display screen has a display region. The display screen is provided with multiple pixels and multiple capacitors arranged at intervals in the display region. Each capacitor is corresponding to a region between two adjacent pixels. Each capacitor is configured to generate a fingerprint ridge detection signal corresponding to a fingerprint ridge region and/or generate a fingerprint valley detection signal corresponding to a fingerprint valley region. The display screen is provided with the multiple capacitors in the display region, and each capacitor is corresponding to the region between two adjacent pixels.

Abstract: Tools, strategies, and techniques are provided for evaluating the identities of different entities to protect business enterprises, consumers, and other entities from fraud by combining biometric activity data with facial recognition data for end users. Risks associated with various entities can be analyzed and assessed based on a combination of user liveliness check data, facial image data, social network data, and/or professional network data, among other data sources. In various embodiments, the risk assessment may include calculating an authorization score or authenticity score based on different portions or combinations of the collected and processed data.

Abstract: A radar detection and identification device is disclosed, comprising at least one display host, at least one camera and at least one radar detector, wherein the camera and the radar detector, after photographing and detecting, are capable of performing masked face recognition and radar physiological detection recognition processes in order to identify the identity information and human physiological signals and display them on the display host.

Abstract: The present disclosure relates to the field of fingerprint identification technology, and provides a fingerprint identification substrate, a fingerprint identification method and a display device. The fingerprint identification substrate includes: a base substrate; at least one point light source arranged on the base substrate and configured to emit signal light; and at least one photosensitive unit arranged at a side of the base substrate away from the point light source, and configured to receive the signal light reflected by a finger and identify a fingerprint. Each photosensitive unit includes a first photosensitive sensor and a second photosensitive sensor independent of each other, a light filtration structure is arranged at a side of the second photosensitive sensor facing the point light source and configured to merely allow light in a first direction to pass therethrough, and the first direction is perpendicular to the base substrate.

Abstract: The present disclosure provides a fingerprint identification structure and a display device. The fingerprint identification structure includes an acoustic wave emitter, a focus acoustic lens, and a sound wave receiver. The acoustic lens are between the acoustic wave emitter and the sound wave receiver, the acoustic wave emitter is at a focal position of the acoustic lens and configured to emit acoustic wave toward the acoustic lens, the acoustic wave receiver is configured to detect the intensity distribution of the acoustic wave emitted by the acoustic wave emitter after the acoustic wave sequentially passes through the acoustic lens and the acoustic wave receiver, reaches the surface of the finger and is reflected back by the surface of the finger. The fingerprint recognition structure improves design flexibility.

Abstract: Biometric gallery management is performed by association one or more wireless identifiers that correspond to one or more mobile devices (such as smart phones, tablet computing devices, cellular telephones, wearable devices, smart watches, fitness monitors, digital media players, medical devices, and/or other mobile computing devices) that people carry with digital representations of biometrics corresponding to the people. Wireless identifiers corresponding to mobile devices proximate to a biometric reader device may be monitored. Upon detection of wireless identifiers corresponding to mobile devices proximate to the biometric reader device, the associated digital representations of biometrics may be loaded from a main gallery into one or more local galleries, which may then be used to perform one or more biometric identifications and/or verifications.

Abstract: An image processing method, an electronic device and a readable storage medium, which relate to the technical field of computer vision, are disclosed. In an embodiment, a face recognition module and a service processing module maintains respectively an image buffer queue; the face recognition module maintains a face image buffer queue of face images, and the service processing module maintains a background image buffer queue of background images, i.e., first images; since the face recognition module only maintains the face image buffer queue, only a determined optimal face image, i.e., a face image to be matched, is transmitted to the service processing module, and then, the service processing module determines a background image matched with the optimal face image transmitted by the face recognition module from the maintained background image buffer queue, thus performing image recognition and image matching on a face appearing in a video source.

Abstract: A method includes obtaining, by a processing device from an optical sensor of a mobile device, an image of an object; processing, by the processing device, the image using a neural network, wherein processing the image includes distinguishing, using the neural network, a first portion of the image including a region of interest, ROI, from a second portion of the image; after processing the image, extracting, by the processing device, a biometric characteristic of the object from the ROI; and processing, by the processing device, the biometric characteristic of the object to determine whether the biometric characteristic of the object identifies a user.

Abstract: Biometric gallery management is performed by association one or more wireless identifiers that correspond to one or more mobile devices (such as smart phones, tablet computing devices, cellular telephones, wearable devices, smart watches, fitness monitors, digital media players, medical devices, and/or other mobile computing devices) that people carry with digital representations of biometrics corresponding to the people. Wireless identifiers corresponding to mobile devices proximate to a biometric reader device may be monitored. Upon detection of wireless identifiers corresponding to mobile devices proximate to the biometric reader device, the associated digital representations of biometrics may be loaded from a main gallery into one or more local galleries, which may then be used to perform one or more biometric identifications and/or verifications.

Abstract: According to an embodiment, an electronic device may include: a display including a polarization layer, a biometric sensor positioned to at least partially overlap the display, and an optical member including a light condenser positioned between the display and the biometric sensor. The biometric sensor may include a light receiving unit comprising light receiving circuitry configured to receive light emitted from the display and reflected by an external object. A length of the light receiving unit in a first direction, which is a polarization axis direction of the polarization layer, is greater than a length of the light receiving unit in a second direction crossing the first direction.

Abstract: The present disclosure relates to systems and methods for analyzing and evaluating movement of a subjects and providing feedback. In some embodiments, a method comprises receiving one or more images of a body of the subject captured during performance of a physical movement by the subject; computing a model descriptive of positions and orientations of body parts of the subject based on the one or more images; generating a comparison of the positions and orientations to target positions and target orientations, respectively, for the physical movement; and generating a recommendation based on the comparison.

Abstract: The present disclosure provides a fingerprint sensor, a fingerprint module, and a terminal device. The fingerprint sensor has a sensing array, the sensing array includes a plurality of pixel sets, each pixel set includes at least one pixel unit, two adjacent pixel sets in each row of the plurality of pixel sets are electrically connected to each other via a first control line, two adjacent pixel sets in each column of the plurality of pixel sets are electrically connected to each other via a second control line, the plurality of pixel sets include at least one first pixel set, the first pixel set includes at least two pixel units, and the at least two pixel units are electrically connected to each other.

Abstract: A measurement unit (110) performs a measurement process for measuring a biological signal (21) from a target person (20). The biological signal (21) contains a plurality of components and can be measured in a manner to be unnoticeable by the target person (20). A component extraction unit (120) extracts an authentication component, which is to be used for authentication, from the plurality of components. A feature amount extraction unit (130) extracts a current feature amount indicating a present feature amount of the authentication component, from the authentication component. A registration unit (140) registers an identifier, which is used for identifying the target person (20), and a template feature amount, which is a feature amount extracted from the target person (20) in the past, in a storage unit (160), as template information (161). A comparison unit (150) compares the current feature amount to the template feature amount.

Abstract: The present invention provides a processing circuit applied to a face recognition system, which includes a characteristic value calculation module, a determination circuit and a threshold value calculation module.

Abstract: A device for displaying information and for capture of prints of a plurality of skin areas of human autopodia by means of reflection, comprising: a placement surface for applying the autopodia, a touch-sensitive layer, an LC unit with pixels arranged which are individually controllable by a control unit, an illumination unit with a transparent light-guide-layer body, first and second illumination means, and an optical sensor layer with sensors below the light-guide-layer body. The first illumination means emits diffuse light in a first wavelength range, and the second emits directed light in a predefined angular range and in a second wavelength range. The sensor elements are sensitive to light of the second wavelength range. The pixels are switchable between a state which is transparent to the diffuse light and directed light and a state which is opaque to the diffuse light, and are illuminated by the diffuse light for displaying information.

Abstract: Methods, systems, and computer-readable storage media for determining that a subject is a live person include capturing a set of images of a subject instructed to perform a facial expression. A region of interest for the facial expression is determined in a first image of the set, the first image representing a first facial state that includes the facial expression. A set of facial features is identified in the region of interest, the facial features being indicative of interaction between facial muscles and skin of the subject due to the subject performing the facial expression. A determination is made, based on the facial features, that the first image substantially matches a template image of the facial expression of the subject. Responsive to determining that the first image substantially matches the template image, identifying the subject as a live person.