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.

The present invention generally relates to a method for transitioning a device controller comprised with an electronic device from an at least partly inactive mode to an at least partly active mode, the electronic device further comprising a pre-processing module and a fingerprint sensor configured to acquire image data. The invention also relates to a corresponding electronic device and to a computer program product.

The present invention describes a method and the system for matching fingerprint images obtained from different fingerprint image capturing devices and implemented in an electronic device. Specifically, the method has steps of identifying minutiae and then identifying core point of the fingerprint images. Thereafter, a line of symmetry is determined and minutiae are identified by matching ridge count, location angle and orientation angle of a first image of the fingerprint images with a second image of the fingerprint images is identified. Thereafter, prominent minutiae from the candidate minutiae having three adjacent minutiae with same local structure are identified. Out of scope minutiae are eliminated by non-linear registration of fingerprint images based on ridge-count and position angle. Thereafter, matching score is generated based on number of candidate minutiae, prominent minutiae and common overlapped minutiae after non-linear registration of the second fingerprint image in comparison with the first fingerprint image for authentication.

The invention provides a computing device for processing fingerprint template data, wherein the computing device comprises modules configured for generating transformed fingerprint template data from original fingerprint minutiae template data, in which minutiae are represented at least by Cartesian or polar coordinates and an inherent minutiae direction, the computing device being configured to generate for each minutia of the original fingerprint minutiae data corresponding mega-vicinity data. The computing device may further comprise a comparator module being configured to compare two transformed fingerprint template data that comprises, for each minutia, mega-vicinity data of a first fingerprint and a second fingerprint. The computing device may further comprise a biometrics-secret binding module for protecting.

The present disclosure relates to the field of display technology, and discloses a fingerprint authentication display device and method. The fingerprint authentication display device comprises a fingerprint storage unit configured to store the fingerprints of a plurality of authorized users; a user configuration storage unit configured to record user configuration parameters of each authorized user; a fingerprint identifier configured to collect fingerprints and identify the fingerprint information of the authorized user, and send the collected fingerprint to the display unit if the collected fingerprint is the fingerprint of the authorized user; a display unit connected to the user configuration storage unit and configured to read user configuration parameters corresponding to the collected fingerprint and display an image based on the user configuration parameters. The fingerprint authentication display device and authentication display method realize multiple-user verification of a display device by means of fingerprint identification, as well as user customized interface display.

To extract a fingerprint core for alignment of a fingerprint image for fingerprint matching. The present invention comprises: a core extraction unit which has an endpoint processing function of generating an endpoint image by extracting bifurcations in skeleton image and subjecting the respective bifurcations to endpoint processing; and a skeleton image generation/extraction unit which extracts skeletons of a density-inverted image formed by inverting the density colors of the generated end point image from white to black and vice versa, and performs processing for generating the skeleton image, the core extraction unit being provided with a core determination function of specifying a skeleton pixel having the highest value of a loop score indicating the degree of a bend in a skeleton shape in the density-inverted image, and defining this skeleton pixel as the finger print core.

A minutia features generation apparatus comprises: an input part to input an image formed as a curved stripe pattern by a ridge line(s); a generation part to generate a skeleton image formed by extracting a skeleton(s) from the image; an extraction part to extract a plurality of minutiae from the skeleton image; and a calculation part configured to calculate a relation minutia feature(s) representing relationship between a first minutia and a second minutia among the plurality of minutiae, wherein the calculation part calculates as one of the relation minutia features defined by a crossing count of the skeleton(s) and a straight line connecting from the second minutia to a nearest neighbor point which is a point on a trace line traced by tracing starting from the first minutia, which point is located at a shortest line distance from the second minutia.

A list of possible mated minutiae in a reference fingerprint and a search fingerprint is identified. The list of possible mated minutiae is divided into different groups of mated minutiae using pose grouping based on rigid transformation parameters. For each group, the possible mated minutiae are filtered to get a set of consistent mated minutiae pairs having similar rigid transformation. The topological consistency between groups is determined. If any two groups are topologically consistent to each other, they are merged to form a (virtual) larger group. A non-linear transformation parameters are estimated from the mated minutiae in the merged group. The overall similarity of mated and non-mated minutiae in the overlapping area is determined after non-linear alignment of the two fingerprints, and the maximum similarity is output as the final similarity score between two fingerprints.

A fingerprint enrollment method and a fingerprint enrollment apparatus are provided. A minutiae feature and a pore feature of a first fingerprint image are extracted to obtain a first template. A minutiae feature and a pore feature of a second fingerprint image are extracted to obtain a second template. A minutiae matching score between the minutiae features of the first template and the minutiae features of the second template is calculated. When the minutiae matching score is between the first threshold and a second threshold, stitching, mosaicking or synthesis of the first template and the second template are performed by utilizing a matching relation between the pore features of the first template and the pore features of the second template and utilizing the matching relation between the minutiae feature of the first template and the minutiae feature of the second template.

An apparatus may include an ultrasonic sensor array, a light source system and a control system. Some implementations may include an ultrasonic transmitter. The control system may be operatively configured to control the light source system to emit light that induces acoustic wave emissions inside a target object. The control system may be operatively configured to select a first acquisition time delay for the reception of acoustic wave emissions primarily from a first depth inside the target object. The control system may be operatively configured to acquire first ultrasonic image data from the acoustic wave emissions received by the ultrasonic sensor array during a first acquisition time window. The first acquisition time window may be initiated at an end time of the first acquisition time delay.