A fingerprint identification device and a fingerprint identification method are provided. The fingerprint identification device includes a self-emitting display panel, a fingerprint sensor and a processor. The self-emitting display panel displays at least one light pattern in a sensing region. The fingerprint sensor senses a finger object located above the sensing region of the self-emitting display panel to generate a first fingerprint image and a second fingerprint image corresponding to the at least one light pattern. The processor is coupled to the fingerprint sensor. The processor determines whether the first fingerprint image and the second fingerprint image have opposite tones to identify the finger object is a real finger or a fake finger.

A processor-implemented method includes: obtaining an enrollment fingerprint embedding vector corresponding to an enrollment fingerprint image; and generating a virtual enrollment fingerprint embedding vector, wherein the virtual enrollment fingerprint embedding vector has an environmental characteristic different from an environmental characteristic of the enrollment fingerprint image, and has a structural characteristic of the enrollment fingerprint image.

An electronic device includes a touch panel that includes a plurality of row touch lines and a plurality of column touch lines, a touch driver that controls the plurality of row touch lines and the plurality of column touch lines to obtain secondary biometrics including touch profile information, first indicator information, and second indicator information associated with a fingerprint of a user being in contact with the touch panel, in a fingerprint sensing mode of the electronic device, a fingerprint sensor that obtains fingerprint information about the fingerprint of the user, in the fingerprint sensing mode of the electronic device, an authentication module that performs a fingerprint matching operation and an anti-spoofing operation based on the fingerprint information and the secondary biometrics to output an authentication result, and an application processor that performs a security operation based on the authentication result.

Some disclosed methods involve acquiring first ultrasonic signals corresponding to reflections from a cover/air interface of an apparatus that includes an ultrasonic sensor system, and determining one or more first ultrasonic signal parameters of the first ultrasonic signals. Some methods involve acquiring second ultrasonic signals corresponding to reflections from a cover/target interface, and determining one or more second ultrasonic signal parameters of the second ultrasonic signals. Some methods involve estimating, based at least in part on the one or more first ultrasonic signal parameters, the one or more second ultrasonic signal parameters and the ultrasonic sensor system temperature, a target object temperature. Some disclosed methods involve receiving ultrasonic sensor system temperature data indicating a temperature of an ultrasonic sensor system and calibrating the ultrasonic sensor system according to the temperature.

A display device includes 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 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.

The present invention generally relates to a method for authenticating a user of an electronic device comprising a fingerprint sensor. The method comprises acquiring a sequence of verification images. Estimating, based on the images a first and a second verification force value indicative of a force applied by the object on the fingerprint sensor when the verification images were acquired. A verification image representation and a verification force value forms a verification template for each of the first and second images and forces. Matching the first and second verification template with at least one of a plurality of stored fingerprint enrolment templates in a respective first and second matching step. When the first and second matching steps each results in a positive match between the respective verification template and a respective one of the plurality of stored fingerprint enrolment templates, providing a signal indicating successful authentication of the user.

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.

In a method for operating a fingerprint sensor, a fingerprint capture operation is performed on a fingerprint of a finger contacting the fingerprint sensor. A finger lift action is detected. It is determined whether a latent fingerprint remains on a contact surface of the fingerprint sensor subsequent the finger lift action. If it is determined that a latent fingerprint remains on the contact surface of the fingerprint sensor subsequent the finger lift action, instruction on addressing the latent fingerprint is provided.

In a method for determining whether a finger is a real finger at an ultrasonic fingerprint sensor, a sequence of images of a fingerprint of a finger are captured at an ultrasonic fingerprint sensor, wherein the sequence of images includes images captured during a change in contact state between the finger and the ultrasonic fingerprint sensor. A plurality of transient features of the finger is extracted from the sequence of images. A classifier is applied to the plurality of transient features to classify the finger as one of a real finger and a fake finger. It is determined whether the finger is a real finger based on an output of the classifier.

A liveness test method and apparatus is disclosed. A processor implemented liveness test method includes extracting an interest region of an object from a portion of the object in an input image, performing a liveness test on the object using a neural network model-based liveness test model, the liveness test model using image information of the interest region as provided first input image information to the liveness test model and determining liveness based at least on extracted texture information from the information of the interest region by the liveness test model, and indicating a result of the liveness test.