A method for fingerprint template update may include the follows. A target fingerprint image that is successfully matched is obtained, and the target fingerprint image is assessed. When the result of assessing the target fingerprint image meets a fingerprint template update condition, a fingerprint template that matches with the target fingerprint image is updated according to the target fingerprint image. A related terminal device is also provided.

A method for controlling unlocking includes the following operations. A reference feature point of a finger of a user is acquired when a touch operation on a fingerprint recognition sensor of a terminal is detected. A matching process is executed between the reference feature point set and a first feature point set, the first feature point set includes at least one feature point subset of a second feature point set, the second feature point set includes feature points of the entire or a majority portion of the finger. The terminal is unlocked when the reference feature point set is matched with the first feature point set.

A biometric authentication device uses IR-VCSELs as light sources for performing biometric authentication by providing clear images. A light guide module is introduced to minimize the size of the device. Moreover, the biometric authentication device uses a single image sensing module to gather a vein image and a fingerprint image into the same detection signal which is then analyzed and compared with the pre-stored vein feature data and fingerprint feature data.

The present disclosure applies to the field of biometric identification technologies and provides a method and an apparatus for fingerprint identification. The method includes: extracting a minutia of the input fingerprint image by using a statistical method; performing fingerprint matching according to the extracted minutia to obtain a fingerprint identification result. According to the method provides in embodiments of the present disclosure, the direction of the minutia is calculated by using statistical information, a descriptor with statistical significance is added for the minutia, and during the matching process, calculation of the similarity of the minutia by using the descriptor and region matching by using information of the direction field and the gradient field of the overlapping region are added, therefore, instability and weak specificity of expression of fingerprint characteristics in a conventional algorithm are avoided, and accuracy of the fingerprint identification is improved.

A method of collecting biological material with the help of a mobile terminal, the method including the following steps: acquiring a first image and extracting a first candidate biometric dataset therefrom; comparing the candidate biometric dataset with reference biometric datasets and determining similarity scores; comparing the similarity scores with a first predetermined threshold; and when none of the similarity scores is greater than the first predetermined threshold, proceeding to collect biological material from the first dermatoglyph.

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 disclosure teaches a method of utilizing image “match points” to measure and detect changes in a physical object. In some cases “degradation” or “wear and tear” of the physical object is assessed, while in other applications this disclosure is applicable to measuring intentional changes, such as changes made by additive or subtractive manufacturing processes, which may, for example, involve adding a layer or removing a layer by machining. A system may include a scanner, and a digital fingerprinting process, coupled to an object change computer server. The server is coupled to a datastore that stores class digital fingerprints, selected object digital fingerprints collected over time, match measurements, and deterioration metrics.

According to a first aspect of the present disclosure, a fingerprint authentication system is provided, comprising: a transformation unit configured to transform a first format of a captured fingerprint into a second format of the captured fingerprint, wherein the first format defines coordinates of minutia positions and the second format defines relative positions of minutiae; and an authentication unit configured to compare the relative positions with stored reference values. According to a second aspect of the present disclosure, a corresponding fingerprint authentication method is conceived. According to a third aspect of the present disclosure, a corresponding computer program product is provided.

A biometric authentication device includes: a storage unit to store a first enrolled template and first information including a parameter representing an input environment of the first enrolled template; a receiving unit to receive biometric information from the terminal device, a second enrolled template stored in the terminal device, and second information including a parameter representing an input environment of the second enrolled template; an authentication unit to perform authentication by matching the received biometric information and the first enrolled template; a selecting unit to select the first enrolled template or the second enrolled template, based on the first and second information, when the biometric information is accepted; and an updating unit to update the first enrolled template stored in the storage unit to the second enrolled template when the second enrolled template is selected.

A sensor acquires the same type of biometric information from plural fingers in association with an ID. A processor generates feature data used for verification from the biometric information, and generates characteristic data used for calculation of similarity between the plural fingers from the biometric information. Next, the processor compares the characteristic data and calculates the similarity between the plural fingers. The processor determines whether the feature data is registrable based on the similarity, and a memory stores the feature data in association with the ID when the feature data is registrable.