文章基本信息

标题：Face Recognition Using PCA, FLDA and Artificial Neural Networks
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作者：Gunjan Mehta ; Sonia Vatta
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：6
出版社：S.S. Mishra
摘要：Face recognition is a system that identifies human faces through complex computational techniques. The paper explains two different algorithms for feature extraction. These a re Principal Component Analysis and Fisher Faces algorithm. It then explains how images can be recognized using a backpropagation algorithm on a feed forward neural network. Two training databases one containing 20 images and the other containing 80 images are used to test the proposed techniques. Later the results are compared and tabulated.
关键词：eigenfaces; fisherfaces; neural network; backpropagation; minimum euclidean distance