Zkteco Co., Ltd.

Zkteco USA LLC

Shukai Chen

Quanhong Che

Feiyang Tong

Embodiments of the present application disclose a deep learning-based face identification method and a related product. The method is applied to an electronic apparatus. The method includes: acquiring an aligned face image, and scaling the face image at a preset ratio to obtain a target image; extracting a pixel matrix of the target image, inputting the pixel matrix to the neural network model, and executing multilayer computing to obtain a computing result; and calculating a cosine similarity degree between the computing result and a facial template vector, wherein comparison is successful if the cosine similarity degree is greater than a preset threshold. The embodiments of the present application help improve the identification success rate and the identification speed.

Method and system for face recognition via deep learning

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.

Finger vein identification method and device

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.

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Beijing, China

Shukai Chen