International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 10 - Number 3 |
Year of Publication: 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
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.