1.山东大学 信息科学与工程学院 济南 250100 2.Instituto de Engenharia Electrónicae Telemática de Aveiro, Universidade de Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal
Face Recognition Based on Circularly Symmetrical Gabor Transforms and Weighted PCA
WANG Jin-Jun1, WANG Hui-Yuan1,2, WU Xiao-Juan1
1.School of Information Science and Engineering, Shandong University, Jinan 250100 2.Instituto de Engenharia Electrónicae Telemática de Aveiro, Universidade de Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal
Abstract：Circularly symmetrical Gabor transforms (CSGT) has two advantageous properties:reduced redundancy and rotation invariance. A face recognition method is proposed based on circularly symmetrical Gabor transforms and weighted PCA feature. The face image is transformed to CSGT, and then the discriminant features for face recognition are extracted using weighted PCA. Detailed theoretical analysis is presented and simulation results on three face databases are given. Comparative experiments of various face recognition schemes are carried out. The experimental results show the feasibility and advantages of the proposed method.
王进军，王汇源，吴晓娟. 基于环形对称Gabor变换和PCA加权的人脸识别算法*[J]. 模式识别与人工智能, 2009, 22(4): 635-638.
WANG Jin-Jun, WANG Hui-Yuan, WU Xiao-Juan. Face Recognition Based on Circularly Symmetrical Gabor Transforms and Weighted PCA. , 2009, 22(4): 635-638.
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2009, Vol. 22 
