Some embodiments of the present disclosure relate to biometric characteristic detection technology, which provide a method and chip for biometric characteristic acquisition, and a computer readable storage medium. The method for biometric characteristic acquisition includes: acquiring a plurality of configuration parameters, where the plurality of configuration parameters include a first exposure duration, parameters defining a first region and a target photosensitive value, where the first region is a local region in a photosensitive region of the chip for biometric characteristic acquisition; exposing the first region according to the first exposure duration, and acquiring a photosensitive value of the first region; determining a second exposure duration required to acquire the target photosensitive value in the photosensitive region according to the photosensitive value of the first region and the first exposure duration; and acquiring a biometric image according to the second exposure duration.

Provided is a display device including a substrate including a fingerprint area. The fingerprint area includes a first area and a second area. A light-emitting element layer is disposed on the substrate. The light-emitting element layer includes light-emitting elements. A sensor layer is disposed on the substrate, the sensor layer including photosensors. The light-emitting elements include a first light-emitting element arranged in the first area and a second light-emitting element arranged in the second area. During a fingerprint sensing period, the first light-emitting element emits light and the second light-emitting element does not emit light.

A method for detecting spoof fingerprints with an under-display fingerprint sensor includes illuminating, with incident light emitted from a display, a target region of a fingerprint sample disposed on a top surface of the display; detecting a first scattered signal from the fingerprint sample with a first image sensor region of an image sensor located beneath the display, the first image sensor region not directly beneath the target region, the first scattered signal including a first portion of the incident light scattered by the target region; determining a scattered light distribution based at least in part on the first scattered signal; and identifying spoof fingerprints based at least in part on the scattered light distribution.

A method for distinguishing a real three-dimensional object from a two-dimensional spoof of the real three-dimensional object, the method comprising: obtaining, by an optical sensor of a mobile device, an image containing an object that is either the two-dimensional spoof or the real three-dimensional object; providing the image to a neural network; processing the image by the neural network by calculating: 1) a distance map representative of the distance of pixels to the optical sensor, the pixels constituting at least a portion of the object within the image, or 2) a reflection pattern representative of light reflection associated with pixels constituting at least a portion of the object within the image; comparing the distance map or the reflection pattern with a learned distance map or a learned reflection pattern; and obtaining as a final output a determination the image contains either the two-dimensional spoof or the real three-dimensional object.

The present invention improves an accuracy to discern a fake finger created by attaching a transparent thin film to the surface of a finger. The present invention has: a mounting surface that has a mounting area to mount an authentication target that is an object of fingerprint authentication; a transparent plate that is provided on mounting surface and defines a range of an image used for determining the authenticity of the authentication target; a light source that allows light to directly enter the authentication target mounted on the mounting area, not by way of the transparent plate; and an imaging device that images the authentication target mounted on the mounting area, by way of a the transparent plate, wherein a light emitting surface for emitting light of the light source to outside is disposed on the same plane as the mounting surface.

A fake finger in which a transparent thin film is attached to a finger surface is discriminated. A fake-finger determination device includes: an imaging unit 10 that captures an authentication object as a fingerprint authentication object; a classifying unit 31 that classifies an image captured by the imaging unit 10 into a plurality of regions including at least a skin region and a background region using colors of pixels included in the image; and a determining unit 32 that determines whether or not a foreign substance is present in the periphery of a finger based on a feature of a region classified as neither the skin region nor the background region out of the regions classified by the classifying unit 31.

A fingerprint sensing device and a wearable electronic device are provided. The fingerprint sensing device includes an image sensor and a processor. The image sensor is arranged below a fingerprint sensing area. The processor is coupled to the image sensor. The processor senses a finger placed above the fingerprint sensing area through the image sensor during a fingerprint sensing period to obtain a first fingerprint image. The processor continuously senses the finger placed above the fingerprint sensing area through the image sensor during a physiological information sensing period, so as to obtain a physiological characteristic signal.

A fingerprint sensing device and a wearable electronic device are provided. The fingerprint sensing device includes an image sensor and a processor. The image sensor is arranged below a fingerprint sensing area. The processor is coupled to the image sensor. The processor senses a finger placed above the fingerprint sensing area through the image sensor during a fingerprint sensing period to obtain a first fingerprint image. The processor continuously senses the finger placed above the fingerprint sensing area through the image sensor during a physiological information sensing period, so as to obtain a physiological characteristic signal.

An acoustic biometric touch scanner device and method is disclosed. In one aspect, an acoustic fingerprint sensing device includes an array of ultrasonic transducers configured to transmit an ultrasound signal having a frequency in a range from 50 megahertz (MHz) to 500 MHz. The acoustic fingerprint ultrasonic transducers include a piezoelectric film. The acoustic fingerprint sensing device further includes a receiving surface configured to receive a finger. The acoustic fingerprint sensing device further includes a processor configured to generate an image of at least a portion of a fingerprint of the finger based on a reflection of the ultrasound signal from the finger.

A display device including a fingerprint sensor including a first layer having at least one photo sensor to generate a fingerprint image corresponding to reflected light from a fingerprint contact surface, light emitting elements to transmit light reflected by the fingerprint, and a second layer including pin holes to allow reflected light to be incident upon the at least one photo sensor; and a fingerprint detector to receive the fingerprint image from the fingerprint sensor, to extract a first image corresponding to a first region of the fingerprint and a second image corresponding to a second region of the fingerprint, to compare the first and second images to determine similarity, and to perform fingerprint authentication, based on similarity determination, where the fingerprint first region is in contact with the fingerprint contact surface and the fingerprint second region is not in contact with the fingerprint contact surface.