A technique for accurately extracting a fingerprint image for accurate authentication from 3D tomographic luminance data of a finger at a high speed. A processing apparatus (11) according to the present disclosure includes means for, after performing edge detection processing on a tomographic image (101, 102, . . . 10 k, . . . , 10n) at each depth, calculating the total number of edge pixels in the tomographic image from 3D (three-dimensional) tomographic luminance data, and acquiring depth dependence of the number of edges (111, 112), and means for extracting a tomographic image having a striped pattern from the depth dependence of the number of edges and the 3D tomographic luminance data.

A vehicle includes a first sensor including a capacitance sensor; a second sensor including an ultrasonic sensor; a storage configured to store ultrasonic pattern images; and a controller electrically connected to the first sensor, the second sensor and the storage and configured to: wake up the second sensor based on a user contiguous to the first sensor, obtain a fingerprint pattern image from the second sensor, according to a difference between an area value of a ridge area of the fingerprint pattern image and an area value of a valley area adjacent to the ridge area being less than a predetermined reference value, obtain result data by assigning a weight to the area value of the valley area, and according to the result data and the ultrasonic pattern image data matching more than a predetermined matching value by comparing the result data and ultrasonic pattern image data, recognize as a fingerprint corresponding to the user.

A texture image acquisition method, a texture image acquisition circuit and a display panel are provided. The texture image acquisition circuit includes a photosensitive circuit, the texture image acquisition method includes: allowing the photosensitive circuit to receive light from a texture, and obtaining a first curve based on a signal amount accumulated by the photosensitive circuit within a first integral time period, the first curve being a time-varying curve of a residual signal amount which is a signal amount remaining after a signal amount, left over by the photosensitive circuit before the first integral time period, is released over time; obtaining a first acquisition value based on a signal amount accumulated by the photosensitive circuit within a second integral time period which is after the first integral time period; obtaining a first photosensitive signal of an image of the texture; based on the first curve and the first acquisition value.

A method for detection of altered fingerprints includes receiving, by at least one processor, an image of a fingerprint from a fingerprint reader. The image has an image resolution. The processor determines a spatial location of the fingerprint within the image. The processor crops the image around the spatial location to provide a cropped image. The processor generates multiple derived images using the cropped image, such that each derived image has the image resolution. The processor generates a multiple-channel image using the derived images. The processor scales the multiple-channel image to an image size. The processor generates a score using a machine learning model. The score is based on the multiple-channel image and is indicative of a likelihood that the fingerprint has been altered.

A striped pattern image examination support apparatus includes a feature extraction part, a central line collation part, and a display part. The feature extraction part extracts, from each of a first striped pattern image and a second striped pattern image, at least central lines and feature points, as a feature of each of the first striped pattern image and the second striped pattern image. The central line collation part performs collation of the respective central lines of the first striped pattern image and the second striped pattern image, and computes corresponding central lines between the first striped pattern image and the second striped pattern image. The display part determines a display form of each of the central lines based on the computed corresponding central lines and superimposes and displays the central lines on each of the first striped pattern image and the second striped pattern image, according to the determined display form.

Technologies are presented herein in support of a system and method for performing fingerprint recognition. Embodiments of the present invention concern a system and method for capturing a user's biometric features and generating an identifier characterizing the user's biometric features using a mobile device such as a smartphone. The biometric identifier is generated using imagery captured of a plurality of fingers of a user for the purposes of authenticating/identifying the user according to the captured biometrics and determining the user's liveness. The present disclosure also describes additional techniques for preventing erroneous authentication caused by spoofing. In some examples, the anti-spoofing techniques may include capturing one or more images of a user's fingers and analyzing the captured images for indications of liveness.

A method for fingerprint unlocking is provided. Multiple fingerprint images are obtained, by acquiring fingerprints through adjusting adjustment parameters of a fingerprint acquisition chip of a fingerprint recognition module, in response to detecting that the fingerprint recognition module is pressed. A target fingerprint image with the best image quality is determined from the multiple of fingerprint images. A terminal is unlocked when the target fingerprint image matches a preset fingerprint image successfully. A terminal is also provided.

A fingerprint detection touch control display apparatus. The fingerprint detection touch control display apparatus includes a base substrate; a plurality of touch sensors on the base substrate; and a counter substrate facing the base substrate. Each of the plurality of touch sensors includes an invisible tight emitting element; a driving circuit configured to driving light emission of tire divisible light emitting element; an invisible light sensor; and a light shield. The invisible light emitting element is configured to emit light toward the counter substrate, at least a portion of the light being reflected by a touch object on the counter substrate into the invisible light sensor through a via extending through the light shield. The invisible light sensor is configured to detect tire portion of the light, thereby detecting a fingerprint information.

A storage device includes at least one nonvolatile memory device, a memory controller that controls the at least one nonvolatile memory device, and a fingerprint recognition sensor that recognizes a fingerprint of a user. The at least one nonvolatile memory device includes at least one secure partition area being accessible by a host device when a fingerprint recognized by the fingerprint recognition sensor is the same as an enrolled fingerprint, and a public area being accessible by the host device regardless of a fingerprint recognition operation.

An ultrasonic fingerprint sensing method includes: generating a first ultrasonic wave using a first frequency; receiving a first signal generated by reflection of the first ultrasonic wave from each of a ridge and a valley of a fingerprint; generating a first image based on the first signal; comparing the first image with a registered reference image to generate a matching score; and in response to the matching score being less than a threshold value, generating a second image using a second frequency.