Method of Automatic Face Recognition Based on Fuzzy Multiple Feature Combination
In general, automatic face recognition technique includes two important steps: detection/location, recognition. In this paper, a method of automatic face recognition based on fuzzy multiple feature combination was proposed. Face detection and location used eigen space and gray image understand processing. The segmented face image was recognized by the methods: Eigenfaces, EigenUpper, EigenTzone and two-order Eigenfaces firstly. The fuzzy integration function was adopted to combine the fuzzy results,which were fuzzy fused from the elementary recognition results, in order to obtain new distance function and the final recognition results were given. The experiments on the Yale and ORL face database show that, the correct recognition rates of the method are all greater than 95% and the fuzzy multiple feature combination method is superior to that of classical eigenfaces method.
Multiple Feature Automatic Face Recognition Fuzzy Combination Fuzzy Integration Function
Hu Jian
School of Electric and Electronic Engineering,Shandong University of Technology, Zibo 255091, P.R.China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
4628-4631
2009-06-17(万方平台首次上网日期,不代表论文的发表时间)