Face Recognition Based on Circularly Symmetrical Gabor Transform
In this paper, we propose a face recognition approach using circularly symmetrical Gabor transform (CSGT). The traditional Gabor transform is replaced by CSGT. All the face images are transformed by CSGT first and then face recognition is performed in CSGT feature space. Detailed theoretical analysis is presented and simulation results on Yale, AR and ORL face databases are given. The recognition rates can reach 92.59%, 85.29% and 97.5% respectively by the proposed algorithm.
Huiyuan Wang Jinjun Wang Xiaojuan Wu Jose Vieira Paulo Ferreira
School of Information Science and Engineering,Shandong University,Jinan,Shandong 250100,China IEETA,Universidade de Aveiro,3810-193 Aveiro,Portugal
国际会议
2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)
珠海、澳门
英文
1264-1268
2009-06-22(万方平台首次上网日期,不代表论文的发表时间)