A fingerprint recognition device including: a sensing panel including a plurality of sensing blocks, wherein each of the sensing blocks includes a plurality of sensors; a scan driving unit configured to provide a scan signal to the sensors; and a timing controller configured to provide a second initiation signal to the scan driving unit, wherein each of the sensors includes a reference capacitor and a sensing capacitor, the scan driving unit includes scan drivers that correspond to rows of the sensing blocks, in a fingerprint recognition mode, the timing controller provides the second initiation signal to a scan driver corresponding to a sensing block where a touch input is generated, and in a touch mode, the timing controller sequentially provides the second initiation signal to the scan drivers.

An anti-spoofing method includes detecting first information related to whether the biometric information is forged, based on a first output vector of a first neural network configured to detect whether the biometric information is forged from the input data, extracting an input embedding vector including a feature of biometric information of a user from input data including the biometric information, calculating a similarity value of the input embedding vector based on a fake embedding vector and either one or both of a real embedding vector and an enrollment embedding vector that are provided in advance, calculating a total forgery score based on the similarity value and a second output vector of the first neural network according to whether the first information is detected, and detecting second information related to whether the biometric information is forged, based on the total forgery score.

An ultrasonic fingerprint sensor in a mobile device is operated to capture an initial snapshot of reflection from a finger's surface, of acoustic energy transmitted at a first frequency. Additionally, the ultrasonic fingerprint sensor is operated repeatedly to capture over time, a sequence of sets, each set including one or more additional snapshots of reflection from one or more depths within the finger, of acoustic energy transmitted at a second frequency significantly lower than the first frequency. Measurements in the additional snapshots are processed to determine whether any signal oscillating at a rate in a normal range for heart rate or respiration rate is present. When a signal is found, its rate may be used in several ways, e.g. to enable functionality when a fingerprint in the initial snapshot matches a reference fingerprint, or to identify and track a heart rate (or a respiration rate) based on the signal's rate.

Systems and methods for acquiring photoplethysmographic (PPG) signals for measuring blood pressure can include a computing device acquiring a sequence of images representing transdermal optical data of a subject, and generating a corresponding sequence of downsampled color frames. The computing device can identify, in each downsampled color frame, a respective central image block representing a central image region of the downsampled color frame and having a first size smaller than a second size of the downsampled color frame. The computing device can generate, for each downsampled color frame, a corresponding color intensity value based on the respective central image block. The computing device can generate, using color intensity values corresponding to the sequence of downsampled color frames, a PPG signal to determine a blood pressure value of the subject.

Aspects of this disclosure relate to a biometric sensing device that combines sensing with an actuator for two way communication between a finger on a surface and the device. The sensor can also function as an actuator. A finger can be authenticated based on an image of the finger generated by the sensor and also based on a response to energy delivered to the finger by the actuator. Two way communication can provide more robust authentication than fingerprint sensing alone.

An apparatus for detecting false fingerprints, comprising: an optical element having a detection surface on which at least one body is intended to be positioned, of which cutaneous imprints are intended to be detected, an anti-fake illuminator configured to generate at least one bright zone and at least one dark zone on said detection surface, an optical sensor arranged to capture light radiation reflected/diffused by said detection 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.

According to an aspect, a detection device includes a pattern detector, a force detector, and a controller. The controller is configured to store reference data in advance, acquire new data, and determine whether an object pressed against a contact surface when the new data is acquired is a human finger based on difference between acquisition target data indicated by the reference data at a plurality of timings and the acquisition target data indicated by the new data at a plurality of timings. The timings are two timings or more that are included in a pressing operation period from start to end of pressing of an external object against the contact surface, and the force detected by the force detector is different between the timings.

A fingerprint identification method includes controlling a fingerprint acquiring device to receive fingerprint input by a touching operation from a user, and then determining whether certain fingerprint characteristics are also in evidence as predetermined conditions. User behavior characteristics as to finger pressure, pressing area, time spent in generating characteristic fingerprint, and finger temperature gradient are recorded and stored as parameters, and current user behavior characteristic are compared to the stored threshold characteristics. The user is verified when the current user fingerprint matches or equates to a threshold characteristic.

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.