Electronic fingerprint readers are often used for security such as log-in authentication for the identification of a user for selective access to a computing system. As computing devices shrink in overall size and with downward pressure on device pricing, smaller and less expensive fingerprint readers are increasingly desired. While whole fingerprint readers have the greatest accuracy in user identification, the whole fingerprint is often not required for user identification. Often, only a portion of the user's fingerprint is required to adequately identify the user and thus a small segment fingerprint reader may be sufficient for user authentication. However, the smaller the sensing area of the small-segment fingerprint reader, the more likely that the fingerprint reader misidentifies the user or fails to collect sufficient information to identify the user. Systems and methods for improving identification accuracy of small-segment fingerprint readers are disclosed in detail herein.

An electronic apparatus and an operating method thereof are provided. The electronic apparatus includes an optical fingerprint sensor and a processor. The optical fingerprint sensor is configured to obtain a fingerprint image. The processor is coupled to the optical fingerprint sensor and analyzes the fingerprint image to calculate at least one of a color pixel ratio and a light reflectance corresponding to the fingerprint image. The processor searches a background database according to at least one of the color pixel ratio and the light reflectance to obtain a background image. The processor corrects the fingerprint image according to the background image to obtain a corrected fingerprint image.

A method for biometric identification includes: acquiring a first fingerprint image by using a first image capturing mode, where the first fingerprint image is used for first biometric identification, and the first biometric identification includes fingerprint identification; and acquiring a plurality of frames of second fingerprint images by using a second image capturing mode, where the plurality of frames of second fingerprint images are used for second biometric identification, and the second biometric identification includes at least one of heart rate detection, blood oxygen detection or living body detection, and the first image capturing mode is different from the second image capturing mode. The method for biometric identification is beneficial to improve detection performance.

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.

Provided a fingerprint identification substrate and a manufacturing method therefor, a identification method, and a display apparatus. The fingerprint identification substrate includes a substrate and at least two kinds of identification pixels disposed on the substrate, a first identification pixel includes a first photodiode and a second identification pixel includes a second photodiode. The first photodiode includes a first electrode, a first photoelectric conversion layer and a second electrode, the second photodiode includes the first electrode, a second photoelectric conversion layer and the second electrode, and the first photoelectric conversion layer and the second photoelectric conversion layer have different spectral response characteristics to red light or infrared light.

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.

The present invention relates biometric authentication using an optical biometric arrangement comprising an image sensor comprising a photodetector pixel array configured to capture an image of an object, the image sensor being arranged under a color controllable light source comprising light source units, the method comprising: providing a light pattern comprising portions of different light intensity for illuminating the object; acquiring an image of the object, the image comprising image portions corresponding to the portions of different light intensity of the light pattern illuminating the object, at least one image portion being captured by pixels in the photodetector pixel array arranged directly under a light source being active during image acquisition, and at least one image portion being captured by pixels in the photodetector pixel array arranged under an at least partly in-active illumination area of the color controllable light source during image acquisition, and performing biometric authentication at least partly based on metrics extracted from the image portions.

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.

In a method for performing operating a fingerprint sensor, an image of a fingerprint of a finger is captured at a fingerprint sensor. A force applied by the finger at the fingerprint sensor is determined, where the force is a measure of pressure applied by the finger on the fingerprint sensor during capture of the image. The force is compared to a pressure threshold. Provided the force satisfies a pressure threshold, a spoof detection operation is performed to determine whether the finger is a real finger. Provided the force does not satisfy the pressure threshold, fingerprint authentication using the image of the fingerprint is performed without performing the spoof detection operation.

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.