G06V40/1382

Fingerprint pore analysis for liveness detection

Various examples of systems, methods, and programs embodied in computer-readable mediums are provided for fingerprint liveness detection. Fingerprint liveness may be determined by evaluating pixels of a fingerprint image to identify pores along a ridge segment of the fingerprint image. A circular derivative operator can be used to identify the pores. Liveness of the fingerprint can be determined based upon features of the identified pores.

BIOMETRIC SYSTEM WITH PHOTOACOUSTIC IMAGING
20170323132 · 2017-11-09 ·

An apparatus may include an ultrasonic sensor array, a light source system and a control system. Some implementations may include an ultrasonic transmitter. The control system may be operatively configured to control the light source system to emit light that induces acoustic wave emissions inside a target object. The control system may be operatively configured to select a first acquisition time delay for the reception of acoustic wave emissions primarily from a first depth inside the target object. The control system may be operatively configured to acquire first ultrasonic image data from the acoustic wave emissions received by the ultrasonic sensor array during a first acquisition time window. The first acquisition time window may be initiated at an end time of the first acquisition time delay.

BIOMETRIC SYSTEM WITH PHOTOACOUSTIC IMAGING
20170323131 · 2017-11-09 ·

A biometric system may include an ultrasonic sensor array, a light source system and a control system. Some implementations may include an ultrasonic transmitter. The control system may be capable of controlling the light source system to emit light and of receiving signals from the ultrasonic sensor array corresponding to acoustic waves emitted from portions of a target object in response to being illuminated with the light emitted by the light source system. The control system may be capable of performing a user authentication process that is based, at least in part, on the signals from the ultrasonic sensor array.

SPOOF DETECTION USING PROXIMITY SENSORS
20170257770 · 2017-09-07 ·

Computer-implemented methods and systems for liveness analysis using proximity sensors are described. Reflective strength readings from a proximity sensor, such as an infrared proximity sensor incorporated in a mobile device, are received. A liveness measure is determined based on the one or more readings and a reflection threshold, and, based on the liveness measure, a determination is made whether a target in range of the proximity sensor is likely to be a live human.

DISPLAY DEVICE AND METHOD FOR DRIVING THE SAME
20210397862 · 2021-12-23 ·

A method for driving a display device is performed by the display device. The method includes: displaying a first image including user convenience information through a display panel; generating sensing data corresponding to a fingerprint sensing area by using a photoelectric sensor; and determining whether a sensed fingerprint corresponding to the sensing data is a fake fingerprint by comparing expected sensing light illuminance information based on the first image with sensed light illuminance information of the sensing data. The first image includes a first color pattern in the fingerprint sensing area of the display panel. A fake-determination image pattern includes the first color pattern and a second color pattern different from the first color pattern.

Fingerprint sensor with liveness detection

A fingerprint sensor device with built-in liveness detection capabilities includes: an area sensor disposed on a top surface of a substrate; a stiffener disposed below a bottom surface of the substrate; a printed circuit making electrical connection to the sensor disposed below the stiffener; and a light source and a photodetector. At least one of the light source and photodetector is disposed on the printed circuit below the area sensor. The stiffener includes at least one through-hole located with respect to the light source or photodetector to allow light from the light source to transmit through the stiffener towards a finger located on the area sensor or to allow light reflected from the finger to pass through the stiffener to the photodetector.

DETECTION DEVICE
20220208858 · 2022-06-30 ·

According to an aspect, a detection device includes: a substrate; an anode electrode provided on the substrate; a cathode electrode that is provided on the same layer as that of the anode electrode and is adjacent to the anode electrode; and an organic semiconductor layer that has a structure in which a p-type semiconductor layer and an n-type semiconductor layer coexist and that is provided so as to cover the anode electrode and the cathode electrode.

DERMATOGLYPH DETECTOR

A dermatoglyph detector includes a detection circuit and an electronic processor unit. The detection circuit includes an electrically conductive thin film in which there are formed both electrodes that are arranged to come into contact with the skin of a portion of a human body and also conductive tracks connecting the electrodes to the processor unit. The processor unit is arranged to determine electrical characteristics of the body portion extending between each pair of electrodes in contact with the skin, and to execute a computer program for acting on the basis of the determined electrical characteristics to distinguish between an authentic body portion and a fake body portion. The detection circuit includes at least two track segments of different shapes between two calibration terminals so as to present an impedance ratio that is not equal to unity.

METHOD AND APPARATUS THAT DETECTS SPOOFING OF BIOMETRIC INFORMATION

A method and apparatus that detects whether biometric information is spoofed is provided. The method receives, from a sensor, first feature information including a static feature associated with biometric information of a user, and a dynamic feature obtained based on images related to the biometric information, detects whether the biometric information is spoofed based on a first score calculated based on the first feature information, fuses the first score with a second score calculated based on second feature information extracted from the images, based on a result of the detecting that the biometric information is spoofed based on the first score, and detects that the biometric information is spoofed based on a fused score.

Method and apparatus of user verification by ultrasonic subdermal probe

An object having an outer surface (e.g. a friction-ridge surface of a finger) and internal parts (e.g. tissue layer, papillae, blood vessels, fat, muscle, nail and bone) is scanned by a system having a transmitter, receiver and computer. One such system has a substantially planar piezoelectric transmit-layer, an ultrasonic receiver array having a plurality of receivers, and a platen. The transmit layer is caused to produce an ultrasound plane-wave traveling toward the object residing on the platen. Using the ultrasonic receiver, ultrasonic energy that has been reflected from the object is detected. The detected ultrasonic energy is analyzed to provide an analysis result, and the analysis result is compared to a template. A determination is made as to whether the analysis result and the template are similar, and the object is declared to be alive if the analysis result is determined to be similar to the template.