Subscribe Now Subscribe Today
Science Alert
 
Blue
   
Curve Top
Journal of Applied Sciences
  Year: 2010 | Volume: 10 | Issue: 6 | Page No.: 506-511
DOI: 10.3923/jas.2010.506.511
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Classification using Adaptive Multiscale Retinex and Support Vector Machine for Face Recognition System

M.M. Sani, K.A. Ishak and S.A. Samad

Abstract:
This study presents an efficient face recognition system based on Support Vector Machine. A lighting correction method, i.e., Adaptive multiscale retinex is introduced to reduce various lighting conditions before performing the classification task. The performance of this method is evaluated using the Yale and ORL databases. The recognition rate of the proposed method achieved up to 92% compared to the principal component analysis method with 73.7%.
PDF Fulltext XML References Citation Report Citation
 RELATED ARTICLES:
  •    AAAM-face Based Authentication System for Information Security
  •    The Research of Ear Recognition Based on Gabor Wavelets and Support Vector Machine Classification
  •    Performances of Qualitative Fusion Scheme for Multi-biometric Speaker Verification Systems in Noisy Condition
How to cite this article:

M.M. Sani, K.A. Ishak and S.A. Samad, 2010. Classification using Adaptive Multiscale Retinex and Support Vector Machine for Face Recognition System. Journal of Applied Sciences, 10: 506-511.

DOI: 10.3923/jas.2010.506.511

URL: https://scialert.net/abstract/?doi=jas.2010.506.511

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 

Curve Bottom