关键词: 人脸识别, 加权小波分析, 离散余弦变换（DCT）, 加权距离

Abstract: In order to solve the problem of high dimensional image with complicated calculation, the paper proposes a method combined with weighted wavelet analysis and DCT for face recognition. The method decomposes face image by wavelet, extracts the DCT transform coefficients of low-frequency and weighted high-frequency as feature vectors. It uses the weighted distance for classification. Compared with the traditional PCA algorithm as well as wavelet combining PCA algorithm, the experimental results on ORL and YALE face databases show that the proposed algorithm can improve the training time and the recognition rate.

Key words: face recognition, weighted wavelet analysis, Discrete Cosine Transform（DCT）, weighted distance