A method for extracting a signature of a fingerprint shown on a source image is described. For this purpose, the source image is transformed into the frequency domain. One or more ridge frequencies are next determined by means of a convolutional neural network applied to said transformed image, n being an integer greater than or equal to 1. The source image is normalized in response to said n ridge frequencies determined. One or more signatures of said fingerprint are finally extracted from said n normalized images.

The authentication information processing method includes acquiring related information generated for each of a plurality of base points representing feature points of biometric information extracted from an image, for a collation base point and a registration base point. The collation base point is included in authentication information for collation used for biometric authentication. The registration base point is included in authentication information for registration. The related information associates attribute information with a central base point. The method includes determining whether the attribute information associated with the collation base point matches the attribute information associated with the registration base point, and comparing the collation base point and the registration base point for which it is determined that the respective attribute information match each other, and determining a correspondence between the authentication information for collation and the authentication information for registration used to calculate a degree of similarity.

Provided is an electronic device. The electronic device may detect a first input on a designated region of a display, obtain fingerprint information corresponding to the first input using the fingerprint sensor, display, on the display, an object related to an application based on obtaining the fingerprint information, detect a second input generated by dragging from the designated region to a region corresponding to the displayed object while the first input is maintained, execute an application related to the object selected by the second input, and perform authentication related to the application based on the fingerprint information.

The present disclosure generally relates to methods for enrolling a user of an electronic device and authentication the user of the electronic device. The electronic device comprising a biometry sensor for acquiring sensing signals representative of a biometric feature, and a processor for computing a verification representation based on said sensing signals. The electronic device further includes a secure module isolated from said processor for computing an encrypted representation of said enrollment representation.

A fingerprint authentication method and device, display device, and biometric security apparatus include: a fingerprint sensor; a minutiae extraction circuit connected to the fingerprint sensor; a minutiae storage circuit connected to the minutiae extraction circuit; and a minutiae match circuit connected to the minutiae extraction circuit and the minutiae storage circuit, wherein the minutiae match circuit includes a class-wise comparator having a first input connected to the minutiae extraction circuit for receiving sensed fingerprint minutiae from each class of a plurality of classes, a second input connected to the minutiae storage circuit for receiving stored fingerprint minutiae belonging to each same class of the plurality of classes, respectively, and an output providing a fingerprint authentication signal responsive to the class-wise comparator.

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.

Systems and methods for generating a three-dimensional representation of a surface using frustrated total internal reflection. The system may obtain a two-dimensional image of an object in close proximity to an imaging surface. The intensity of the electromagnetic radiation received for individual points on the object may be determined. The system may determine a distance between the imaging surface and the object at each of the individual points based on a correlation between the electromagnetic radiation transmitted towards the imaging surface and the electromagnetic radiation reflected from the imaging surface. The determined intensity of the electromagnetic radiation may indicate the electromagnetic radiation reflected from the imaging surface. A three-dimensional representation of the object may be generated based on the two-dimensional image and/or the determined distances between the imaging surface and the object at each of the individual points.

A light detection circuit, an electronic device, and an optical recognition method are provided. The light detection circuit includes a charge storage sub-circuit (10), a photoelectric conversion sub-circuit (30), a signal collection sub-circuit (40), and a potential pull-up sub-circuit (50). When a potential of a reading node (A) is decreased by a preset value, the potential pull-up sub-circuit (50) changes the potential of the reading node (A) to an initial potential. A photoelectric diode may continuously generate a light current under the action of light, so that the potential of the reading node (A) is decreased again. Even when the intensity of ambient light is high, a touch can be accurately recognized in an optical touch recognition circuit, and ridge lines and valley lines can be accurately recognized in an optical fingerprint recognition circuit.

A fingerprint image display means displays an input fingerprint image being a fingerprint image which is input and a registered fingerprint image being a fingerprint image which has been registered. A marker acquisition means acquires a position of an input marker which is input by a user with respect to the input fingerprint image being displayed. A marker applying means applies a correspondence marker at a position corresponding to an input marker in the registered fingerprint image. A matching means matches the input fingerprint image to which the input marker is input with the registered fingerprint image to which the correspondence marker has been applied.

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.