Face Recognition Algorithm Based on Transductive Learning Classifier

摘要：

This paper proposed a new algorithm of face recognition based on transductive learning lassifier. Transductive learning classifier is based on SVM, it used the user feedback information to mark a few face images beforehand, then it adopted the transductive learning classifier to identify and mark the massive unknown face images. Experimental result shows that the proposed face recognition algorithm is effective, false acceptance rate and false rejection rate is lower than PCA and LDA.

关键词： face recognition transductive learning classifier region selection algorithm

作者: Xiaochuan Zhao

作者单位: China north optical-electrical technology co. ltd, Beijing, China, 100176

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 1337-1340

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）