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Received:November 10, 2012 Revised:December 03, 2012
Received:November 10, 2012 Revised:December 03, 2012
中文摘要: 由于人脸中最具有识别力特征的是人的额头、眼睛、鼻子、嘴巴、耳朵五个部分!基于此本人将人脸进行基于行分成三个小块与基于列分成三小块!根据人脸具有对称性质, 进行特征矩阵的变换!从新定义的隶属度函数应用在最大间距准则上提取最有鉴别的特征向量, 然后根据最近邻分类器将其进行分类!
Abstract:the most discrimination feature is the people's forehead,eyes, ears and the mouth. On the bases of this,to be four block in the face! So the face is divided into three small block based on line and into three small block based on the column! According to the face have symmetry properties,so features of matrix will be transformation! The new definition of the membership function used in maximum divergence difference for extracting the most identify characteristic vector,and then, according to the nearest neighbor classifier to classify the sample.
keywords: Ranks block Degree of membership Maximum scatter differece criterion Extracting characteristic Face Recognition
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黄晓威,王福龙.行列三分块结合的最大间距在人脸识别中的应用.计算机系统应用,2013,22(6):172-175,171
HUANG Xiao-Wei,WANG Fu-Long.Ranks of Four Block in Combination With a Maximum Scatter Difference Application to Face Recognition.COMPUTER SYSTEMS APPLICATIONS,2013,22(6):172-175,171
黄晓威,王福龙.行列三分块结合的最大间距在人脸识别中的应用.计算机系统应用,2013,22(6):172-175,171
HUANG Xiao-Wei,WANG Fu-Long.Ranks of Four Block in Combination With a Maximum Scatter Difference Application to Face Recognition.COMPUTER SYSTEMS APPLICATIONS,2013,22(6):172-175,171
