摘要
围绕人脸识别问题对人脸特征提取及识别技术进行了研究.主要有:运用灰度投影提取出在简单背景中的人脸图像,进行归一化操作;以类间散布矩阵作为产生矩阵,通过K-L变换降维并提取出代数特征,为了减少计算量,运用了奇异值分解,最后用最小距离分类器分类对图像进行分类.实验结果表明本方法的有效性.并且对人脸姿态,表情,光照等都具有一定的免疫性.
This paper studied the human face feature extraction and human face recognition technology through human face recognition problem,including Utilizing gray projection method to extraction human face in simply background.Next precondition is done for the face image.For those standard images,regarding the between-class scatter matrix as generating matrix,it extracts the algebraic features of face images through K-L transform.We use the singular value decomposition in order to cut the measure of calculation,and finally use the minimum distance classifier to classificati the waiting recognition image.Experimental results show effectiveness of the approach.
出处
《华东交通大学学报》
2006年第5期70-74,共5页
Journal of East China Jiaotong University
关键词
人脸识别
特征提取
眼睛定位
K-L变换
模式识别
face recognition
feature extraction
eye iocalization
K-L transfer
pattern recognition
