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
Full Text (PDF, 768KB), PP.16-22
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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