Face recognition method and system, electronic device and computer program product

Abstract

The present invention provides a face recognition method and system, an electronic device and a computer program product, and is applied to the technical field of face recognition. The method comprises the steps of: obtaining face images with a plurality of shooting angles of the same user; performing blur filtering of the face images; performing attitude filtering of the face images after blur filtering; and performing face recognition of the face images after attitude filtering. According to the invention, after the face images with shooting angles of the same user are obtained, the face images are subjected to blur filtering and attitude filtering, the face images after filtering are subjected to face recognition, and therefore, the quality of face recognition images can be effectivelycontrolled, and rapid and accurate face recognition in a natural dynamic scene can be achieved.

Description

technical field [0001] The present invention relates to the technical field of face recognition, in particular to a face recognition method, system, electronic equipment and computer program product. Background technique [0002] Compared with other biometric identification technologies, face recognition technology can be obtained directly through the camera, and the recognition process can be completed in a non-contact manner, which is convenient and fast. [0003] At present, face recognition is widely used. Many face recognition application scenarios are usually in natural environment and non-user cooperation, and the recognition system is required to be real-time, high-speed and accurate. [0004] The face recognition algorithm based on the CPU (Central Processing Unit, central processing unit) processes a single frame image in hundreds of milliseconds, which is difficult to meet the requirements of real-time recognition. [0005] Although the face recognition algorithm...

AI Technical Summary

Problems solved by technology

[0004] The face recognition algorithm based on the CPU (Central Processing Unit, central processing unit) processes a single frame image in hundreds of milliseconds, which is difficult to meet the requirements of real-time recognition

[0005] Although the face recognition algorithm based on GPU (Graphics Processing Unit, Graphics Processing Unit) is fast, it is difficult to fully meet the requirements of real-time recognition, and the GPU method requires high hardware resources and is expensive, which is not conducive to large-scale applications.

[0006] In addition, in many scenes, the lighting conditions are complex and the user's facial posture is not good, so it is difficult to recognize. If all the difficult-to-recognize pictures are sent to the face recognition system, a lot of computing resources will be wasted, and the accuracy and speed of recognition cannot be guaranteed.

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