一种基于Gabor描述的概率子空间人脸识别方法Gabor-Core.PDF

29 3 Vol.29No.3 2007 3 Journal of Electronics Information Technology Mar. 2007 Gabor ( 361005) Gabor GPSA Gabor Gabor Gabor Gabor 190 Gabor TP391.41 A 1009-5896(2007)03-0626-05 Gabor Representation Based Probabilistic Subspace Analysis for Face Recognition Long Fei Dong Huai-lin Wang Bei-zhan Shi Liang (Software School, Xiamen University, Xiamen 361005, China) Abstract: In this paper, a GPSA face recognition approach by probabilistic subspace analysis in Gabor wavelet domain is presented. First, an improved Gabor representation scheme for face images is given, then a Gabor based probabilistic subspace model is built, so recognition is performed in a manner of probabilistic matching. The discriminatory information yielded from both probabilistic subspace analysis and Gabor representation is exploited altogether in GPSA method, and hence the robustness of face recognition system is enhanced effectively. The experimental results on a mixture face database including 190 individuals show that the proposed GPSA method outperforms the existing PSA method. Key words: Face recognition; Gabor representation; Probabilistic subspace analysis (PSA) 1 [1](eigenfaces) Moghaddam [2]