Face recognition with one sample per person based on contourlet and nearest feature line
نویسندگان
چکیده
In this paper, a novel algorithm for face recognition with one sample per person is proposed. The proposed algorithm is based on contourlet. Multiple training images for each class are constructed through the decomposition and reconstruction of original training images by contourlet. Thus neighborhood discriminant nearest feature line analysis can be performed on the new database. The experimental results demonstrate the efficiency of the proposed algorithm.
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