Face recognition algorithm and face recognition device adaptive to illumination interference environment

Abstract

The invention relates to a face recognition algorithm and a face recognition device adaptive to an illumination interference environment, the face recognition algorithm comprises a step of establishing a face data vector set and a step of carrying out face recognition; in the step of face recognition, detecting a to-be-recognized portrait photo by using an MTCNN, respectively inputting the obtained face images into a FaceNet model and an LBP model to obtain corresponding vectors, then calculating the Euclidean distance between the vector and each vector in a face data vector set, and then performing weighted summation calculation according to the Euclidean distance to obtain a face image; and taking the training portrait photo corresponding to the minimum value of the weighted summation as a face recognition result of the portrait photo to be recognized. According to the method and device, the weights of the two algorithms are adaptively adjusted, and adaptive environment illumination is achieved, so that the illumination robustness of the neural network during face recognition is improved, and the face recognition rate in an illumination interference environment is improved.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a face recognition algorithm and a face recognition device adaptive to an illumination interference environment. Background technique [0002] Facial recognition technology has come a long way in the past few decades. Face recognition technology can be divided into traditional methods (LDA, PCA, LBP, Gabor filtering, etc.) and deep learning methods (MobileNet, FaceNet, etc.). The traditional method has faster recognition speed, while the deep learning method has higher accuracy. Face recognition technology has been used in many fields, such as human-computer interaction, video surveillance, camera beauty, etc. [0003] Since the traditional method of face recognition and the deep learning method cannot adapt to the ambient light, in some special cases, such as the face light is too strong or insufficient, the accuracy of face recognition still has a lot of room for imp...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the problems of poor adaptability and low recognition rate of the existing face recognition technology to the light interference environment, a face recognition algorithm and a face recognition device adaptive to the light interference environment are provided. The face recognition algorithm And the face recognition device has a better recognition rate in complex lighting conditions

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