关键词: 光照变化, 人脸识别, Retinex 算法, 稀疏表示

Abstract: In order to improve the face recognition under illumination variation condition, a novel face recognition algorithm based on improved Retinex and sparse representation is proposed in this paper to the defects of face recognition algorithms. Firstly, Retinex algorithm is improved and applied to the face image preprocessing to eliminate the illumination variation interference in face recognition, and then the sparse representation is used to extract face feature vector and vote method is used to recognize face, and finally the performance of algorithm is tested on three face data set. The results show that the proposed algorithm can not only improve effectively the face recognition rate, but also shorten the time of face recognition, and it has good robustness for illumination variation.

Key words: illumination variation, face recognition, Retinex algorithm, sparse representation