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!
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 def＇mition 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.
出处
《计算机系统应用》
2013年第6期172-175,171,共5页
Computer Systems & Applications
关键词
行列分块
隶属度
最大间距准则
特征提取
人脸识别
Ranks block
Degree of membership
Maximum scatter differece criterion
Extracting characteristic
Face Recognition
