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| 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 |
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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.
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Received: 14 July 2008
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[1] Liu Chengjun, Wechsler H. Gabor Feature Based Classification Using the Enhanced Fisher Linear Discriminant Model for Face Recognition. IEEE Trans on Image Processing, 2002, 11(4): 467-476
[2] Lades M, Vorbruggen J C, Buhmann J, et al. Distortion Invariant Object Recognition in the Dynamic Link Architecture. IEEE Trans on Computers, 1993, 42(3): 300-311
[3] Wiskott L, Fellous J M, Kuiger N, et al. Face Recognition by Elastic Bunch Graph Matching. IEEE Trans on Pattern Analysis and Machine Intelligence, 1997, 19(7): 775-779
[4] Zhu Zhenfeng, Tang Ming, Lu Hanqing. A New Robust Circular Gabor Based Object Matching by Using Weighted Hausdorff Distance. Pattern Recognition Letters, 2004, 25(4): 515-523
[5] Wang Huiyuan. Face Recognition Approaches Based on Linear Subspace and Circularly Symmetrical Gabor Transforms. Ph.D Dissertation. Jinan, China: Shandong University. School of Information Science and Engineering, 2007 (in Chinese)
(王汇源.基于线性子空间及环形对称GABOR变换的人脸识别算法研究.博士学位论文.济南:山东大学.信息科学与工程学院, 2007)
[6] Wang Huiyuan, Wu Xiaojuan. Weighted PCA Space and Its Application in Face Recognition // Proc of the 5th International Conference on Machine Learning and Cybernetics. Guangzhou, China, 2005, Ⅶ: 4522-4527 |
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2009, Vol. 22 
