Face biometrics based on principal component analysis and linear discriminant analysis.(Report): An article from: Journal of Computer Science

This digital document is an article from Journal of Computer Science, published by Science Publications on July 1, 2010. The length of the article is 3767 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.

From the author: Key words: Face biometrics, identification, verification, principal component analysis, linear discriminant analysis, equal error rate

Citation Details
Title: Face biometrics based on principal component analysis and linear discriminant analysis.(Report)
Author: Lih-Heng Chan
Publication:Journal of Computer Science (Magazine/Journal)
Date: July 1, 2010
Publisher: Science Publications
Volume: 6 Issue: 7 Page: 691(8)

Article Type: Report

Distributed by Gale, a part of Cengage Learning