Methods, systems, and devices for anti-spoofing detection are described. The methods, systems, and devices include scanning, by a sensor associated with a device, an object placed within a scanning distance of the sensor, identifying a test signal based on scanning the object, comparing the test signal to a reference signal, identifying a first match between the object and a biometric model based on the comparing, identifying, based on the scanning, a second match between a first biometric pattern associated with the object and a stored second biometric pattern, and enabling access to a secure resource associated with the device based on the first match and the second match.

A display device includes a display unit displaying an image, a fingerprint sensing unit disposed on one surface of the display unit and including fingerprint sensing pixels to sense a fingerprint, and a readout circuit providing a selection signal to the fingerprint sensing unit to select a predetermined amount of fingerprint sensing pixels from the fingerprint sensing pixels as a sensing area and receiving a fingerprint sensing signal from the sensing area. The readout circuit accumulates the fingerprint sensing signal provided from the fingerprint sensing pixels in the sensing area during a test mode and calculates a compensation value based on a difference between the accumulated fingerprint sensing signal and a reference value.

A method for distinguishing a real three-dimensional object from a two-dimensional spoof of the real object, the method comprising: obtaining, by an optical sensor of a mobile device, an image containing either the spoof or the real object; providing the image to a neural network; processing the image by the neural network by: calculating at least one of: 1) a distance map representative of the distance of a plurality of pixels to the optical sensor; or 2) 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 comparing at least one of the calculated distance map or the calculated reflection pattern with a learned distance map or a learned reflection pattern, to determine that the image contains either the spoof or the real object.

The present disclosure relates to a device for contactless optical imaging of features of a hand, wherein the device comprises an illumination arrangement for illuminating a measuring site with light of substantially a first wavelength and with light of at least substantially a second wavelength. The device further comprising a camera comprising a detector and objective configured for imaging the measuring site on the detector. Within the measuring site a region of depth of field of the objective with respect to the first wavelength overlaps with a region of depth of field of the objective with respect to the second wavelength.

A camera captures an image of a subject, and a light source illuminates with light a plane intersecting an optical axis of the camera at a prescribed angle. The processor generates guidance information related to a distance between the subject and the light source on the basis of a pixel value distribution of the image of the subject which is illuminated with the light, and outputs the generated guidance information.

This disclosure describes techniques for providing instructions when receiving biometric data associated with a user. For instance, a user-recognition device may detect a portion of a user, such as a hand. The user-recognition device may then display a first graphical element indicating a target location for placing the portion of the user above the user-recognition device. Additionally, the user-recognition device may determine locations of the portion of the user above the user-recognition device. The user-recognition device may then display a second graphical element indicating the locations, such as when the locations are not proximate to the target location. Additionally, the user-recognition device may display instructions for moving the portion of the user to the target location. Based on detecting that the location of the portion of the user is proximate to the target location, the user-recognition device may send data representing the portion of the user to a remote system.

A fingerprint detection apparatus and an electronic device are provided. The fingerprint detection apparatus is applied below a display screen to implement under-screen optical fingerprint detection, and the fingerprint detection apparatus includes: a micro lens array disposed below the display screen; Z light shielding layers disposed below the micro lens array, each of the Z light shielding layers being provided with an array of small holes, where Z is a positive integer; and an optical sensing pixel array disposed below an array of small holes of a bottom light shielding layer of the Z light shielding layers; where an array of small holes of each of the Z light shielding layers satisfies 0≤X.sub.i/Z.sub.d≤3. By restricting structure parameters of small holes in an array of small holes, aliasing of transmission of light signals returned via different positions of a finger could be avoided.

A detection apparatus includes: a plurality of detection electrodes; a detection circuit configured to be coupled to the detection electrodes; and a coupling circuit configured to cause the detection electrodes to be a coupled state in which the detection electrodes are coupled to the detection circuit and a non-coupled state in which the detection electrodes are uncoupled from the detection circuit. The detection apparatus has a plurality of selection patterns of the detection electrodes causing detection electrodes as first selection targets among the detection electrodes to be the coupled state and causing detection electrodes as second selection targets to be the non-coupled state. The selection patterns do not include any selection patterns causing detection electrodes as the first selection targets to be the non-coupled state and causing detection electrodes as the second selection targets to be the coupled state.

A display apparatus including a plurality of display pixel areas and a plurality of light-receiving pixel areas which are arranged in a display area in which an image is displayed, comprises an image-displaying unit configured to display the image and including a plurality of electro-luminescence devices which corresponds to the plurality of display pixel areas; and a light-sensing unit disposed below the image-displaying unit, wherein the light-sensing unit comprises a plurality of light-receiving devices corresponding to the plurality of light-receiving pixel areas; a light shielding film disposed on a transparent film that covers the plurality of light-receiving devices; and a plurality of opening patterns corresponding to the plurality of light-receiving devices and formed in the light shielding film.

Disclosed is a cost-effective method to fabricate a multifunctional collimator structure for contact image sensors to filter ambient infrared light to reduce noises. In one embodiment, an optical collimator, includes: a dielectric layer; a substrate; a plurality of via holes; and a conductive layer, wherein the dielectric layer is formed over the substrate, wherein the plurality of via holes are configured as an array along a lateral direction of a first surface of the dielectric layer, wherein each of the plurality of via holes extends through the dielectric layer and the substrate from the first surface of the dielectric layer to a second surface of the substrate in a vertical direction, and wherein the conductive layer is formed over at least one of the following: the first surface of the first dielectric layer and a portion of sidewalls of each of the plurality of via holes, and wherein the conductive layer is configured so as to allow the optical collimator to filter light in a range of wavelengths.