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一种基于奇异值分解的人脸识别新方法
引用本文:孙静静,张宏飞,孙昌.一种基于奇异值分解的人脸识别新方法[J].科学技术与工程,2010,10(25).
作者姓名:孙静静  张宏飞  孙昌
作者单位:1. 辽宁工业大学电气工程学院,锦州,121001
2. 北京京东方显示技术有限公司IT与自动化技术组信息管理部,北京,100176
3. 河北钢铁集团(邯郸分公司)邯宝能源中心,邯郸,056015
摘    要:基于奇异值向量方法进行人脸识别时,由于提取的奇异值向量特征所包含的人脸图像的有效信息少,导致人脸识别率低下。基于此提出了一种基于奇异值分解的人脸识别新方法——矩阵的秩-逼近法。利用ORL人脸数据库进行实验,并采用最近邻决策规则来进行分类识别。实验结果显示,提出的方法比基于奇异值人脸识别方法具有优越性,本算法能大大地改善识别效果。

关 键 词:人脸识别  奇异值分解  秩一矩阵
收稿时间:6/20/2010 8:32:08 PM
修稿时间:6/20/2010 8:32:08 PM

A New Method of Face Recognition Based on Singular Value Decomposition
sunjingjing,zhang hong-fei and sun chang.A New Method of Face Recognition Based on Singular Value Decomposition[J].Science Technology and Engineering,2010,10(25).
Authors:sunjingjing  zhang hong-fei and sun chang
Institution:SUN Jing-jing,ZHANG Hong-fei1,SUN Chang2 (Electric Engineering College,Liaoning University of Technology,Jinzhou 121001,P.R.China,Information Managemant Team IT & Automatic Engineering Group,Beijing BOE Display Technology Co.,Ltd1.,Beijing 100176,Hanbao Energy Center,Hehei Iron & Steel Group(Handan Iron & Sted Branch Company2,Handan 056015,P.R.China)
Abstract:When doing face recognition based on the singular value vector,the reason of the low rate for face recoginition was that the feature of singular value vector could not contain enough face information.And then,a new method of face recognition is proposed based on singular value decomposition-the method of approximation for matrix whose rank is one.Experimented on the ORL,face database,and also,the nearest neighbor decision rule is used to recgnize human face.The results of experiment reveal that this method ...
Keywords:face recognition singular value decomposition the matrix whose rank is one  
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