Face Recognition Based on Support Vector Machines

摘要：

Face recognition is the research focus of machine vision, pattern recognition and other areas. It has broad application prospects. In this paper, we apply wavelet transform to human face image preprocessing in order to reduce the impact of expression change on face recognition. Then we follow PCA method, mapping the original face image to Eigen-faces axis which mutually orthogonal to achieve dimensionality reduction of eigen. Finally we use support vector machine classification model to identify the projection vector of human face image in the eigen faces axis. The experiment results on the ORL and Yale face databases show that the method is feasible.

关键词： face recognition wavelet transform principal component analysis support vector machine

作者: JIANG Li-li LIANG Kun YE Shuang

作者单位: School of Management, HFUT, Department of Basic, Anhui Sanlian University, Hefei,China School of Management, HFUT, Hefei, China Hefei University of Construction Supervision Co.,Ltd. School of Civil and Hydraulic Engineering, HFU

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 115-119

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）