International Journal of Modern Education and Computer Science (IJMECS)
IJMECS Vol. 7, No. 1, 8 Jan. 2015
Cover page and Table of Contents: PDF (size: 769KB)
Using Wavelet-Based Contourlet Transform Illumination Normalization for Face Recognition
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Author(s)
Long B. Tran
1,*
Thai H. Le
1
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", International Journal of Modern Education and Computer Science (IJMECS), vol.7, no.1, pp.16-22, 2015. DOI:10.5815/ijmecs.2015.01.03
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