关键词: 局部对比增强, 局部相位量化, 离散余弦变换, 人脸识别

Abstract: In order to improve the rate of face recognition under illumination change, a method of face recognition based on Local Contrast Enhancement（LCE） and Local Phase Quantification（LPQ） is put forward. The face image with uneven illumination is compensated by using facial symmetry combined with LCE algorithm. The enhanced images are marked with LPQ operators, and their dimensions are reduced with block Discrete Cosine Transform（DCT）. LPQ histogram sequence is calculated block by block as the description vector of face image, and it is recognized by the nearest neighbor classifier. The method is proved to be effectiveness with the experiment on the Yale B and CAS_PEAL database.

Key words: local contrast enhancement, local phase quantization, discrete cosine transform, face recognition