(2D)2 MMDA: a New Method of Feature Extraction and Face Recognition Based on Image Matrix

摘要：

Based on maximum margin criterion, a new feature extraction method is proposed for face image recognition in the paper. The method is called 2-directional 2-dimensional maximum margin discriminant analysis ((2D)2 MMDA), which works image matrix in the row direction and in the column direction simultaneously for feature extraction. The experimental results on ORL face databases and YALE face databases indicate that the proposed method has the advantage of higher recognition rate, less memory requirements and better computing performance than the 2D-PCA and (2D)2PCA method.

作者: Guodong Li Yongzhi Li Songsong Wu Man Chen

作者单位: School of Information Engineering, Lanzhou Commercial College, Lanzhou 730020 China School of Information Science & Technology, Nanjing Forestry University, Nanjing 210037 China;Depart Department of Computer Science, Nanjing Univ. of Science and Technology, Nanjing 210094 China School of Information Science & Technology, Nanjing Forestry University, Nanjing 210037 China

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）