A computer-implemented method for client-side identity verification may include (1) receiving, via an endpoint computing device, input from a user that includes biometric data of the user captured by a sensor of the endpoint computing device and visual data of a physical identification document that includes a record of the biometric data, (2) verifying, by the endpoint computing device, that the biometric data captured by the sensor of the endpoint computing device matches the record of the biometric data in the physical identification document, and (3) transmitting, to a server, a verification that the user has been identified while preventing the biometric data from being included in the verification sent to the server. Various other methods, systems, and computer-readable media are also disclosed.

A biological information displaying apparatus according to an embodiment includes a picture obtaining apparatus and a processor. The picture obtaining apparatus obtains a picture signal of a predetermined site of a subject as a moving image. The processor generates a hue moving image by extracting a luminance or an image-based photoplethysmogram (iPPG) related to a pulse wave for each pixel of the moving image and assigning a hue in accordance with a value of luminance information or iPPG information. The processor displays the generated hue moving image such that the hue moving image is superimposed on an image of the subject.

The embodiments of the present disclosure provide a method of registering a face based on video data, including: receiving video data; acquiring a first image frame sequence from the video data, wherein each image frame in the first image frame sequence includes a face detection frame containing a complete facial feature; determining whether each image frame reaches a preset definition or not according to a relative position of the face detection frame in the image frame; extracting a plurality of sets of facial features based on an image information of the plurality of face detection frames in response to determining that the image frame reaches the preset definition, and determining whether the faces represent an object or not according to the plurality of sets of facial features; and registering the object according to the first image frame sequence in response to determining that the faces represent the object.

A general framework for building a biometrics system capable of capturing multispectral data from a series of sensors synchronized with active illumination sources is provided. The framework unifies the system design for different biometric modalities and its realization on face, finger and iris data is described in detail. To the best of our knowledge, the presented design is the first to employ such a diverse set of electromagnetic spectrum bands, ranging from visible to long-wave-infrared wavelengths, and is capable of acquiring large volumes of data in seconds. Having performed a series of data collections, we run a comprehensive analysis on the captured data using a deep-learning classifier for presentation attack detection. The invention follows a data-centric approach attempting to highlight the strengths and weaknesses of each spectral band at distinguishing live from fake samples.

Methods and systems to synthesize information from multiple discrete and unrelated documents, and from the synthesized information verify the identity of an individual to a high degree of trust are described. Information is adaptively synthesized from varied documents, and through generation of document confidence scores. Enrollment requirements for a trusted identification are evaluated in a real-time environment. The enrollment requirements may represent a minimum level of documentation required to sufficiently verify an individual's true identity in order to permit issuance of the trusted identification. Once sufficient documentation has been obtained and validated to meet or exceed enrollment requirements, the documentation (including any original source copies of any documentation) is securely submitted to the trusted identification issuing authority.

The present disclosure generally relates to digital identification credential user interfaces.

A communication device for sensing one or more biometric characteristics of a user. The device includes a cover structure, a layer of output pixel elements, a layer of biometric input pixel elements, and a processor. The cover structure includes an exterior surface. The layer of output pixel elements is positioned below the exterior surface and configured to provide an output through the exterior surface toward the user. The output pixel elements being at least one of light emitting pixel elements and piezoelectric-out pixel elements. The layer of biometric input pixel elements is positioned below the exterior surface to receive a reflected biometric input passing from the user through the exterior surface. The biometric input pixel elements being at least one of light detecting and piezoelectric-in pixel elements. The processor is connected to the biometric input pixel elements to process the reflected biometric input.

A device for liveness detection is disclosed. The liveness detecting device has a simplest structure that principally comprises a light sensing unit and a signal processing module. Particularly, the signal processing module is configured for having a physiological feature extracting unit and a liveness detecting unit therein. The physiological feature extracting unit is adopted for extracting a first physiological feature from a PPG signal, or extracting a second physiological feature from the PPG signal that has been applied with a signal process. As such, through the first and second physiological features, the liveness detecting unit is able to determine whether a subject is a living body or not. The liveness detecting device does not use any camera unit and iPPG technology, such that the liveness detecting device has advantages of simple structure, low cost and immediately completing liveness detection.

A method for obtaining data from an image of an object of a user that has a biometric characteristic of the user, like a fingerprint or a set of fingerprints of fingertips, a palm of the hand of the user, a face of the user, an eye of the user, a bottom of a foot of the user, the method comprising: on a mobile device, performing the following steps: obtaining, by an optical sensor of the mobile device, the image of the object wherein the image contains either the spoof or the real object; processing, in an identification-step, the image, thereby identifying both, the position of the object and the object in the image; wherein processing further comprises a liveliness-detection step, comprising calculating at least one of: a distance map representative of a distance of a plurality of pixels to the optical sensor, the pixels constituting at least a portion of the object within the image; a reflection pattern representative of light reflection associated with a plurality of pixels constituting at least a portion of the object within the image; and wherein processing further comprises a comparison-step comprising comparing at least one of the calculated distance map or the calculated reflection pattern with a known distance map or a known reflection pattern, thereby determining, based on an outcome of the comparison, that the image contains either the spoof or the real object; obtaining, from the image, after the processing, data comprising at least the biometric characteristic and optionally storing the data in a storage device; sending, to a third party computing device, data comprising at least the biometric characteristic.

In some aspects, a device may detect that an object is contacting a display of the device. The device may illuminate, based at least in part on detecting that the object is contacting the display, a plurality of pixel regions of the display. The plurality of pixel regions may be illuminated sequentially. The device may obtain, using one or more photosensors, a set of data relating to light that is reflected from at least a portion of the object based at least in part on illuminating the plurality of pixel regions. The set of data may include respective data for each sequential illumination of the plurality of pixel regions. The device may generate an image of at least the portion of the object based at least in part on the set of data. Numerous other aspects are described.