By Topic

A fully automated face recognition system under different conditions

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)
Hui Peng ; Dept. of Autom., Tsinghua Univ., Beijing, China ; Changshui Zhang ; Zhaoqi Bian

We present a fully automated face recognition system (FAFRS) which contains two components: eyes detection and face recognition. Firstly, a hybrid neural method is proposed to localize human eyes. Then, a dual eigenspaces method (DEM) is developed to extract algebraic features from normalized facial images and perform the recognition task. Experimental results show that the proposed system is effective and robust under different conditions

Published in:

Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on  (Volume:2 )

Date of Conference:

16-20 Aug 1998