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International Journal of Modern Education and Computer Science (IJMECS)

ISSN: 2075-0161 (Print), ISSN: 2075-017X (Online)

Published By: MECS Press

IJMECS Vol.7, No.1, Jan. 2015

Using Wavelet-Based Contourlet Transform Illumination Normalization for Face Recognition

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Author(s)

Long B. Tran, Thai H. Le

Index Terms

Wavelet transform;contourlet transform;histogram equalization;face recognition;illumination

Abstract

Evidently, the results of a face recognition system can be influenced by image illumination conditions. Regarding this, the authors proposed a system using wavelet-based contourlet transform normalization as an efficient method to enhance the lighting conditions of a face image. Particularly, this method can sharpen a face image and enhance its contrast simultaneously in the frequency domain to facilitate the recognition. The achieved results in face recognition tasks experimentally performed on Yale Face Database B have demonstrated that face recognition system with wavelet-based contourlet transform can perform better than any other systems using histogram equalization for its efficiency under varying illumination conditions.

Cite This Paper

Long B. Tran, Thai H. Le,"Using Wavelet-Based Contourlet Transform Illumination Normalization for Face Recognition", IJMECS, vol.7, no.1, pp.16-22, 2015.DOI: 10.5815/ijmecs.2015.01.03

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