Research Article
Article:Design and Implementation of Robust 2D Face Recognition System for Illumination Variations
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 10 - Issue 3 |
| Published: November 2010 |
| Authors: Kiran P.Gaikwad, V.M.Wadhai, Prasad S.Halgaonkar, Santosh Kumar |
10.5120/1458-1972
|
Kiran P.Gaikwad, V.M.Wadhai, Prasad S.Halgaonkar, Santosh Kumar . Article:Design and Implementation of Robust 2D Face Recognition System for Illumination Variations. International Journal of Computer Applications. 10, 3 (November 2010), 39-43. DOI=10.5120/1458-1972
@article{ 10.5120/1458-1972,
author = { Kiran P.Gaikwad,V.M.Wadhai,Prasad S.Halgaonkar,Santosh Kumar },
title = { Article:Design and Implementation of Robust 2D Face Recognition System for Illumination Variations },
journal = { International Journal of Computer Applications },
year = { 2010 },
volume = { 10 },
number = { 3 },
pages = { 39-43 },
doi = { 10.5120/1458-1972 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2010
%A Kiran P.Gaikwad
%A V.M.Wadhai
%A Prasad S.Halgaonkar
%A Santosh Kumar
%T Article:Design and Implementation of Robust 2D Face Recognition System for Illumination Variations%T
%J International Journal of Computer Applications
%V 10
%N 3
%P 39-43
%R 10.5120/1458-1972
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Illumination variation is a challenging problem in face recognition research area. Same person can appear greatly different under varying lighting conditions. This paper consists of Face Recognition System which is invariant to illumination variations. Face recognition system which uses Linear Discriminant Analysis (LDA) as feature extractor have Small Sample Size (SSS). It consists of implementation of Feature Extraction Module using Two Dimensional Maximum Margin Criteria which removes “Small Sample Size (SSS)” problem present in existing Face Recognition System.
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