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

An effective feature extraction method for face recognition

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

3 Author(s)
Haddadnia, J. ; Eng. Dept., Tarbiet Moallem Univ. of Sabzevar, Iran ; Ahmadi, M. ; Raahemifar, K.

This paper introduces an efficient method for the recognition of human faces in 2-dimensional digital images using a new feature extraction method. The proposed feature extraction method includes human face localization derived from the shape information using a new distance measure as facial candidate threshold (FCT) as well as Pseudo Zernike moment invariant (PZMI). Also we introduce a new parameter to define axis correction ratio (ACR) of images for disregarding irrelevant information of face images. In this paper the effect of the new parameters in disregarding irrelevant information in recognition rate is studied. Also we evaluate the effect of orders of PZMI in the proposed technique. Simulation results on the face database of Olivetti research laboratory (ORL) indicate that high order PZMI together with derived face localization and proposed technique for feature extraction contain very useful information about face recognition process. Recognition rate of 99.3% is obtained using this proposed technique.

Published in:

Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on  (Volume:3 )

Date of Conference:

14-17 Sept. 2003

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.