Abstract: Methods, systems, and programming for user identification are presented. In one example, a system for acquiring biometric information is disclosed. The system comprises a housing including a surface for a person to place a finger thereon. The system also comprises a sensor, a first image acquisition portion, and a second image acquisition portion. The sensor is configured for sensing presence of the finger when the person places the finger on the surface. The first image acquisition portion is configured for acquiring a fingerprint image of the finger placed on the surface. The second image acquisition portion is configured for acquiring a finger vein image of the finger placed on the surface. The first and second image acquisition portions acquire their respective images at different times.

Abstract: Methods, systems, and programming for identifying a person are presented. In one example, a first set of candidates is determined based on a fingerprint image acquired from a finger of the person. A second set of candidates is determined based on a finger vein image acquired from the finger. The person is recognized based on the first and/or second set of candidates.

Abstract: Embodiments of the present invention disclose a non-contact 3D fingerprint capturing apparatus and method.

Abstract: Embodiments of the present invention disclose a fingerprint anti-counterfeiting method and device used for implementing a fingerprint anti-counterfeiting function efficiently. The method in the embodiment of the present invention includes: acquiring a fingerprint image; controlling a camera to acquire a face image under a preset trigger condition; performing face identification on the face image according to a pre-stored face template; and determining the fingerprint image as an authentic fingerprint image when the face identification succeeds. As a fingerprint feature and a face feature of an identical user both can be used for uniquely identifying the user, the fingerprint feature and the face feature of the user can be associated with each other. If face identification performed on a face image according to a preset face module succeeds, it can be determined that an acquired fingerprint image is an authentic fingerprint image.

Abstract: Embodiments of the present invention disclose a non-contact 3D fingerprint capturing apparatus and method.

Abstract: A finger vein identification method and device used for effectively extracting finger vein identification characteristics to conduct finger vein identification. The method of the embodiments of the present teachings comprises: collecting a finger vein image, employing a line fitting method to extract a region of interest in the finger vein image, conducting geometric normalization and grayscale normalization processing of the region of interest to obtain a processed region, determining finger vein blood vessel lines in the processed region to obtain a finger vein blood vessel image, and conducting finger vein identification based on the finger vein blood vessel image.

Abstract: The present teachings provides a palm vein identification device and a palm vein identification method. The method may comprise: acquiring a target palm vein image of a user; extracting a region of interest (ROI) from the target palm vein image of the user; acquiring feature data corresponding to the ROI, wherein the feature data are obtained by binarization processing; and comparing the feature data corresponding to the target palm vein image against feature data corresponding to a registered original palm vein image to perform identification on the target palm vein image of the user, wherein the feature data corresponding to the registered original palm vein image are obtained by calculation in advance.

Abstract: Methods, systems, and programming for identifying a person are presented. In one example, a first set of candidates is determined based on a fingerprint image acquired from a finger of the person. A second set of candidates is determined based on a finger vein image acquired from the finger. The person is recognized based on the first and/or second set of candidates.

Abstract: Methods, systems, and programming for user identification are presented. In one example, a system for acquiring biometric information is disclosed. The system comprises a housing including a surface for a person to place a finger thereon. The system also comprises a sensor, a first image acquisition portion, and a second image acquisition portion. The sensor is configured for sensing presence of the finger when the person places the finger on the surface. The first image acquisition portion is configured for acquiring a fingerprint image of the finger placed on the surface. The second image acquisition portion is configured for acquiring a finger vein image of the finger placed on the surface. The first and second image acquisition portions acquire their respective images at different times.