A face recognition method, device and electronic equipment

Abstract

Embodiments of the present invention provide a face recognition method, device, and electronic equipment. The method includes: acquiring a face image to be recognized; determining the shooting time of the face image to be recognized; judging whether the shooting time belongs to the preset pixel value adjustment time Range; when the shooting time belongs to the preset pixel value adjustment time range, determine the pixel value adjustment time period to which the shooting time belongs; according to the different pixel value adjustment coefficients corresponding to the preset different pixel value adjustment time periods, determine the corresponding pixel value adjustment coefficient of the shooting time The current pixel value adjustment coefficient; adjust the pixel value of the face image to be recognized according to the current pixel value adjustment coefficient to obtain the adjusted face image to be recognized; perform face recognition on the adjusted face image to be recognized to obtain face recognition result. In the present invention, the pixel value adjustment time range is divided into different pixel value adjustment time periods according to the illumination difference, so the accuracy of face recognition can be improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a face recognition method, device and electronic equipment. Background technique [0002] In recent years, with the rapid development of face recognition technology, products based on face recognition technology have been widely used in various fields of daily life, such as security defense, e-commerce and company management. [0003] At present, the main method of face recognition is: to obtain the face image to be recognized; to calculate the similarity between the face image to be recognized and each face image in the preset registration set to obtain the face recognition result. Specifically, feature extraction can be performed on the face image to be recognized, and feature extraction is performed on each face image in the registration set, and the similarity between the face image to be recognized and each face image in the registration set is calculated according ...

AI Technical Summary

Problems solved by technology

[0004] When using the above method for face recognition, if the face images to be recognized are acquired under different lighting conditions, that is, if the light intensity of the face images to be recognized is different, for example: in a darker light acquired, when performing feature extraction on the acquired image, some features cannot be extracted, which will lead to the problem of low face recognition accuracy

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