A New Face Recognition Method Based On SVD

摘要：

　　In order to further improve the accuracy of face recognition and reduce the time complexity,this paper presents a new method of face recognition based on the singular value decomposition(SVD).Combining the characteristics of singular value vector(SVV)and orthogonal matrix similarity,a new criterion is established to obtain the decision category of the face to be tested.The ORL face database is used to verify the recognition effect of the proposed method.Experiment results show that the proposed method is superior to other methods in recognition rate and time complexity.

关键词： face recognition singular value decomposition singular value vector matrix similarity

作者: Yuanyuan Ma Dengyin Zhang

作者单位: Institute of communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China

会议类型: 国际会议

会议名称: 2017年第2届联合国际信息技术、机械与电子工程国际会议(JIMEC2017)

会议地点: 重庆

会议语种:英文

页码: 291-294

在线出版日期: 2017-10-04（万方平台首次上网日期，不代表论文的发表时间）