Cart (Loading....) | Create Account
Close category search window
 

Face recognition using wavelet transform and Kernel Principal Component Analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Xiang-fei Nie ; Coll. of Phys. & Electron. Eng., Chongqing Three Gorges Univ., Chongqing, China

A novel face recognition method using wavelet transform and Kernel Principal Component Analysis (KPCA) was presented. The method calculated logarithm transform and 2-dimensional wavelet transform for face pre-processing, used KPCA algorithm for face feature extraction, and adopted nearest neighborhood classifier based on Cosine distance for feature classification. The experimental results on Yale B frontal face database show that the face recognition rate of the proposed method can attain 100%. That is, the proposed approach can alleviate variable illumination for face recognition and identify all test samples on Yale B frontal face database accurately..

Published in:

Future Information Technology and Management Engineering (FITME), 2010 International Conference on  (Volume:3 )

Date of Conference:

9-10 Oct. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.