文章基本信息

标题：Face Recognition Using Principle Component Analysis Techniques
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作者：Arshi Shamsi ; Waseem Ahmad ; Prof. Saoud Sarwar 等
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：8
出版社：S.S. Mishra
摘要：This paper presents an effective and naval approach for face detection using Principle component analysis techniques. The system commences feature extraction through Principle component analysis method, in which the needed features of faces are extracted out in the form of feature vectors. The feature vectors based upon principle component analysis techniques are used as the input of the classifier, which is a feed forward neural network on reduced feature subspace learned by principle component approach for recognition of faces. The effectiveness of the system has been justified over a face database with face images captured in different illumination and orientation conditions of face.
关键词：PCA; Principle Gabor Filter; eigen images; eigen face