Face recognition in non-uniform illumination conditions using lighting normalization and SVM

Authors:
Chiunhsiun Lin;Ching-Hung Su
Affiliations:
National Taipei University, Taipei, Taiwan;The Department of Electronic Engineering, Lunghwa University of Science and Technology, Taoyuan County, Taiwan
Venue:
CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
Year:
2007

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Abstract

An efficient face recognition scheme is developed to recognize face in color images with non-uniform illumination conditions. The proposed scheme comprises two phases, namely face detection and face recognition. For the face detection phase, a lighting normalization function and an isosceles triangle approach are utilized to detect facial regions accurately. For the recognition phase, a SVM scheme is adopted to uniquely identify facial characteristics. The primary advantage of the proposed face recognition system is its ability to handle different facial image sizes under non-uniform illumination conditions. Moreover, the system performs better than PCA algorithms in term of success rate.