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In this paper, the characteristics of face images, select a set of Gabor wavelet kernel, and check with this set of Gabor wavelet Gabor face image wavelet transform to extract useful information of face images. On this basis, with 2DPCA on data extracted Gabor wavelet dimension reduction matrix, and finally with the nearest neighbor method to classify the human face.