In order to improve the recognition rate and the recognition time of the low resolution image, the face recognition technology based on matching degree and local phase quantization is studied. In face recognition, the dynamic time warping strategy is applied to the fast extraction of face contour, and a parallel matching local phase quantization algorithm is proposed to realize the face recognition, which can be expressed by a number of 2D curves extracted from the surface. The experimental results verify the feasibility and effectiveness of the proposed algorithm on the face database of ORL, Yale B and AR, and show it can obtain better recognition results especially in real time and robustness.
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