Night face recognition optimization method, electronic equipment and storage medium

Abstract

The invention discloses a night face recognition optimization method. The method comprises the following steps: detecting a face, and detecting the call data of a camera; when the human face is detected and the camera is detected to be called, storing the current screen brightness parameter, and defining the screen brightness corresponding to the current screen brightness parameter as the originalscreen brightness; increasing the original screen brightness to be at least the screen brightness corresponding to the set parameter; collecting the face image, judging whether the face image passesthe authentication, and if so, adjusting the improved screen brightness to the original screen brightness based on the current screen brightness parameter; otherwise, prompting that the face recognition fails. By presetting the set parameters, night face recognition is better achieved under the screen brightness corresponding to the set parameters, the current screen brightness parameters are compared with the set parameters, the current screen brightness is adjusted, and the face recognition rate is increased.

Description

technical field [0001] The invention relates to face recognition technology, in particular to an optimization method for face recognition at night, electronic equipment and a storage medium. Background technique [0002] Face recognition technology is an indispensable technology in today's life, which refers to the use of computer technology for analysis and comparison to identify faces. Face recognition is a popular computer technology research field, including face tracking and detection, automatic adjustment of image magnification, infrared detection at night, automatic adjustment of exposure intensity and other technologies. The face recognition system mainly includes face image acquisition and detection, face image preprocessing, face image feature extraction, matching and recognition. [0003] However, the probability of successful face recognition is not very high when the light is low, especially at night when face recognition is performed, the failure rate will gre...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiencies of the prior art, one of the purposes of the present invention is to provide an optimization method for face recognition at night, which can solve the problem of manually adjusting the screen for face recognition in the prior art

[0005] The second object of the present invention is to provide an electronic device, which can solve the problem of manually adjusting the screen for face recognition in the prior art

[0006] The third object of the present invention is to provide a storage medium, which can solve the problem of manually adjusting the screen for face recognition in the prior art

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