Application of Data Mining Technology in Face Recognition Based on Support Vector Machine

摘要：

Facial detection and identification technique is one of the most challenging research areas in the field of pattern recognition and machine vision. Two important parts, including facial detection and identification are studied deeply in this paper. The facial recognition algorithm based on the Support Vector Machine in the public security system is analyzed in detail. Methods on BP neural network, Principle Component Analysis and Support Vector Machine are discussed, and the facial feature extraction based on wavelet decomposition is designed. Experimental results show that feature extraction using wavelet decomposition and classifying with SVM has the superiority over traditional methods on the small sample, and the recognition rate can be enhanced.

关键词： facial recognition wavelet decomposition support vector machine

作者: LIU Lei SONG Xiaoling WEI Qiang

作者单位: School of Physics and Electronic Engineering, Taishan University, P.R.China, 271000 Department of information engineering, Taishan Polytechnic, P.R.China, 271000

会议类型: 国际会议

会议名称: The 3rd International Institute of Statistics & Management Engineering Symposium(2010 国际统计与管理工程研讨会 IISMES)

会议地点: 威海

会议语种:英文

页码: 419-424

在线出版日期: 2010-07-24（万方平台首次上网日期，不代表论文的发表时间）