重庆大学学报：自然科学版2012，Vol.35Issue(8)：134-138,5.
分块PCA和奇异值分解相结合的人脸识别算法
A face recognition method based on modular PCA and SVD
摘要
Abstract
In order to solve the problem that modular PCA method is sensitive to translation, rotation and other geometric transform, a face recognition method based on modular PCA and singular value decomposition （SVD） is proposed. The PCA features of sub-image and SVD features are extracted respectively. The distance measure that fuses information of modular PCA and SVD is obtained. Minimum distance classifier is used to face recognition. Experimental results on ORL human face database show that the proposed method can obtain higher recognition rate.关键词
人脸识别/分块PCA/奇异值分解/分类器Key words
face recognition/modular PCA/SVD/classifier分类
信息技术与安全科学引用本文复制引用
印勇,何文娟,郭之强,郭攀,徐亦达..分块PCA和奇异值分解相结合的人脸识别算法[J].重庆大学学报：自然科学版,2012,35(8):134-138,5.基金项目
中央高校基本科研业务费资助项目 （）
