Evaluation of face recognition techniques

Bo Dai; Dengsheng Zhang

doi:10.1117/12.836686

10 July 2009 Evaluation of face recognition techniques

Bo Dai; Dengsheng Zhang

Author Affiliations +

Proceedings Volume 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering; 74890M (2009) https://doi.org/10.1117/12.836686
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China

Abstract

Face recognition is an important technique which can be used in many applications. In recent years, face recognition has attracted large amount of research interest. Many recognition methods have been proposed, however, most of them are not able to make use of local salient features to effectively capture the face information. Recently, SIFT has been proposed for object matching in image retrieval area, and it proves to be a powerful matching tool. In this paper, we applied and studied SIFT method on face recognition, and compared it with the well known face recognition methods in literature, i.e., PCA and 2DPCA. Rigorous tests were carried out on 3 major face databases. Our results show SIFT has significant advantages over both PCA and 2DPCA in terms of recognition rate and number of training samples. This paper also points out some shortcomings of classic experiment method to recognize faces and improve them.

Citation Download Citation

Bo Dai, Bo Dai, Dengsheng Zhang, Dengsheng Zhang, } "Evaluation of face recognition techniques", Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890M (10 July 2009); doi: 10.1117/12.836686; https://doi.org/10.1117/12.836686

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years