Referenced Items are not available for this document.
This paper presents a novel method for solving face gender recognition problem. This method employs 2D Principal Component Analysis, one of the prominent methods for extracting feature vectors, and Support Vector Machine, the most powerful discriminative method for classification. Experiments for the proposed approach have been conducted on FERET data set and the results show that the proposed method could improve the classification rates.
Published in:
Network and System Security (NSS), 2010 4th International Conference on
Date of Conference: 1-3 Sept. 2010
- Page(s):
- 579 - 582
- E-ISBN :
- 978-0-7695-4159-4
- Print ISBN:
- 978-1-4244-8484-3
- INSPEC Accession Number:
- 11653729
- Conference Location :
- Melbourne, VIC
- Digital Object Identifier :
- 10.1109/NSS.2010.19
- Product Type:
- Conference Publications
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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
