A method for controlling unlocking is provided. When a touch operation of a finger of a user on a fingerprint recognition sensor of a terminal is detected, a first fingerprint image is received; a second fingerprint image is received according to a CAC parameter corresponding to a default finger when it is determined based on the first fingerprint image that the finger of the user is in a steady state, and N third fingerprint images are received according to N sets of CAC parameters; a target fingerprint image is determined and a fingerprint comparison is performed on the target fingerprint image; the terminal is unlocked when the target fingerprint image is matched.

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 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.

An apparatus, method and system are provided for sensing an individual's biometric information, and generating and transmitting an acoustic signal representative of the sensed biometric information. The acoustic signal may be transmitted as an audio signal or an ultrasonic signal to another apparatus in the system for authentication or verification of the individual's identity.

An electronic device with a display and a fingerprint sensor displays a fingerprint enrollment interface and detects, on the fingerprint sensor, a plurality of finger gestures performed with a finger. The device collects fingerprint information from the plurality of finger gestures performed with the finger. After collecting the fingerprint information, the device determines whether the collected fingerprint information is sufficient to enroll a fingerprint of the finger. When the collected fingerprint information for the finger is sufficient to enroll the fingerprint of the finger, the device enrolls the fingerprint of the finger with the device. When the collected fingerprint information for the finger is not sufficient to enroll the fingerprint of the finger, the device displays a message in the fingerprint enrollment interface prompting a user to perform one or more additional finger gestures on the fingerprint sensor with the finger.

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.