Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

A Novel Efficient Face Recognition Using Two Level Evolution Classifier

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

2 Author(s)
Nam Mi Young ; Dept. of Comput. Sci. & Eng., Inha Univ., Incheon ; Phill Kyu Rhee

We present a new efficient face recognition using two level adaptive classifier scheme. Face recognition is a very popular problem in computer vision area. However, the maturity of face recognition technology still need much progress since its performance is depending on several varying factors such as facial illumination, expression, pose etc. In this paper, we propose an adaptive classifier in order to reduce effect of facial feature variations due to the change of facial expressions. Facial features are eyes, nose, and mouth feature groups each of which is constituted of facial feature points. All facial images are treated by first initial evolutionary classifier using initial feature group level and feature point level parameter set. All rejected facial images based on threshold are employed for generating new feature parameter set using two level chromosome evolutions. The feature space adopted here is Gabor wavelet with weight Gabor parameters. We have performed extensive experiments using international standard FERET face image dataset and we have achieved very encouraging results.

Published in:

Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on  (Volume:2 )

Date of Conference:

11-13 Nov. 2008