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Design and Implementation of Robust 2D Face Recognition System for Illumination Variations

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Executive Summary

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. In statistical pattern recognition, high dimensionality is a major cause of the practical limitations of many pattern recognition technologies

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