The present invention relates to a method for classifying a biometric trait represented by an input image, the method being characterized in that it comprises the implementation, by data processing means (21) of a client (2), of the steps of: (a) Determining, for each of a predefined set of possible general patterns of biometric traits, by means of a convolutional neural network, CNN, whether said biometric trait presents or not said general pattern.

This fingerprint registration method by a user terminal device includes: capturing an image of a fingertip by a camera provided to the user terminal device; generating and displaying an enlarged image obtained by enlarging a fingertip image that includes the captured fingertip; receiving a user operation whether or not the fingertip image is to be registered for fingerprint authentication on the basis of the enlarged image; and transmitting, to an external server as fingerprint data, the fingertip image on which registration operation has been performed through the user operation.

The present disclosure provides a fingerprint matching method and apparatus, an electronic equipment and a readable storage medium. The method includes: extracting a plurality of to-be-matched feature points from the to-be-identified fingerprint image; performing a first matching between the plurality of to-be-matched feature points and a plurality of template feature points in the template fingerprint image, wherein the first matching includes: identifying true feature points in the plurality of to-be-matched feature points, and determining feature point pairs each of which includes a true feature point and a template feature point corresponding to the true feature point in the template fingerprint image as a first matching result; removing at least one falsely matched feature point pair from the first matching result; and performing a second matching between the to-be-identified fingerprint image and the template fingerprint image based on remaining feature point pairs in the first matching result.

A method for matching an image of a palm of an individual with at least one image from a plurality of reference palm images, which includes: creation of a reference base from the plurality of reference palm images comprising, for each reference palm image, a selection of at least one reference palm region and a coding into a reference regional biometric information item, determination of an individual palmary biometric information item from the image of the palm of the individual comprising a selection of at least one individual palm region and the coding thereof into individual regional biometric information item, for each image, comparison of each individual regional biometric information item with each reference regional biometric information item, and matching of the image of the palm of the individual with at least one image from the plurality of reference palm images, as a function of a result of the comparison.

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.

A fingerprint verification method includes selecting one or more first fingerprint groups from among a plurality of fingerprint groups based on an input fingerprint image, each fingerprint group of the plurality of fingerprint groups including partial fingerprint images; and determining whether verification is successful based on the input fingerprint image and each of the partial fingerprint images included in the one or more first fingerprint groups.

The disclosure relates to an enrolment method carried out by a smart card using an internal or external electrical power supply, comprising: determining an applied mode among a first and second mode in which the electrical power supply is respectively below and above a predefined threshold; obtaining of N fingerprints in the form of image pixels, N being an integer greater than or equal to 2; extracting digital data representative of characteristic points of the fingerprints by a reading of the pixels at a predetermined resolution level; and generating a fingerprint template by aggregation of the digital data, the enrolment further comprising: determining based on the applied mode of at least one among the number N and the resolution level, so that the fingerprint template has a higher definition in the second mode than in the first mode.

Disclosed is a server for performing authentication or identification using biometric information including basic information and detailed information includes a storage for storing basic information and detailed information that are separately encrypted for each of a plurality of users, a communicator for communicating with an external device, and a processor configured to, based on separately encrypted basic information and detailed information being received from an external terminal device through the communicator, performing user authentication or user identification for the received basic information and detailed information by decrypting and comparing the stored encrypted basic information and the received encrypted basic information, and comparing the received detailed information with at least one piece of stored detailed information corresponding to a piece of basic information having a degree of similarity that is higher than or equal to a predetermined value and with the received basic information among the stored basic information.

An apparatus may include a processor that may be caused to access handholding information indicating a hand configuration in which the apparatus is being held and compare the handholding information with previously-stored handholding authentication data of an authentic user. The previously-stored handholding authentication data may represent an authentic configuration in which the apparatus is held by the authentic user. The processor may be caused to determine that the apparatus is being held by the authentic user based on the comparison and cause an authenticated action to occur based on the determination.

A method for biometric identification or authentication is described. An image of a body region is obtained. A truth map for said body region is obtained, said truth map associating, with each portion of a set of portions of said image of a body region, a probability that said portion belongs to a true body region. The image of the body region is then compared with a group of reference biometric data using the truth map. Finally, the identification or authentication of said body region is validated or invalidated in response to said comparison.