Face recognition method and device, terminal and storage medium

Abstract

The invention provides a face recognition method and device, a terminal and a storage medium. The face recognition method comprises: acquiring a face image to be recognized, and extracting a first high-dimensional feature vector of the face image to be recognized according to a preset deep learning model; quantifying the first high-dimensional feature vector into a first low-dimensional integer code by using a product quantization algorithm; performing similarity matching on the first low-dimensional integer code of the to-be-identified face image and a pre-obtained second low-dimensional integer code of the face template image; and determining a target low-dimensional integer code most similar to the first low-dimensional integer code in the second low-dimensional integer code according to a similarity matching result, and taking the face template image corresponding to the target low-dimensional integer code as a target face image. In the face recognition process, the low-dimensionalinteger codes are used for carrying out similarity comparison, so that the comparison frequency between the low-dimensional integer codes and the low-dimensional integer codes is reduced, the response speed of the system is greatly increased, and the face recognition efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of face recognition, in particular to a face recognition method, device, terminal and storage medium. Background technique [0002] With the development of face recognition technology, face recognition is widely used in fields such as security monitoring, security payment, screen unlocking and time attendance. Match, after the match is successful, the verification is passed. [0003] Specifically, in 1:N face recognition, the feature vector of the face image to be recognized is first generated, and then the feature vector is compared with the feature vector of each face template image in the face template image library, and the The most similar one is taken as the recognition result. In this process, the pairwise comparison speed of the feature vector itself is relatively fast, but when N is large, such as more than 100 million, the number of comparisons will become very large, which will significa...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a face recognition method, device, terminal and storage medium to solve the problem that in the current 1:N face recognition process, due to the huge number of face template images, when one-to-one comparison with the face images to be recognized , the number of comparisons is huge, which reduces the response speed of the system and affects the efficiency of face recognition.

Images