Fuzzy 2D Maximum Scatter Discriminant Analysis For Feature Extraction

摘要：

A novel method of face image feature extraction, called the fuzzy 2DMSD (F2DMSD) based on the 2D maximum scatter discriminant analysis and fuzzy set theory, is proposed. In the proposed one, the membership degree matrix is calculated by FKNN, then the membership degree is incorporated into the definition of the between-class scatter matrix and the within-class scatter matrix. Then the fuzzy between-class scatter matrix and the fuzzy within-class scatter matrix are obtained. Experiments conducted on the FERET face databases and the Yale face database demonstrate the effectiveness of the proposed method.

关键词： feature extraction face recognition 2DMSD fuzzy 2DMSD fuzzy k-nearest neighbor (FKNN)

作者: Jianguo Wang Changying Zhou Hongbo Yao

作者单位: Department of Computer Science & Technology Tangshan College Tangshan, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 49-52

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）