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Histogram Gabor Phase Pattern and Adaptive Binning Technique in Feature Selection for Face Verification
Srinivasan Arulanandam
Pages - 90 - 100     |    Revised - 31-03-2011     |    Published - 04-04-2011
Volume - 5   Issue - 1    |    Publication Date - March / April 2011  Table of Contents
Face recognition,, Gabor Wavelets,, Local Gabor Phase pattern, , Global Gabor Phase Pattern, , Adaptive Binning, , Spatial Histograms
The aim of this paper is to develop a robust system for face recognition by using Histogram Gabor Phase Pattern (HGPP) and adaptive binning technique. Gabor wavelet function is used for representing the features of the image both in frequency and orientation level. The huge feature space created by Gabor wavelet is classified by using adaptive binning technique. The unused bin spaces are used. As a result of which, the size of the space is drastically reduced and high quality HGPP created. It is due to this approach, the computation complexity and the time taken for the process is reduced and the recognition rate of the face improved. The significance of this system is its compatibility in yielding best results in the face recognition with major factors of a face image. The system is verified with FERET database and the results are compared with those of the existing methods.
CITED BY (1)  
1 Gulati, H., Aggarwal, D., Verma, A., & Sandhu, P. S. (2012). Face Recognition using Hybrid Histogram & Eigen value Approach. International Journal of Research in Engineering and Technology (IJRET), 1(1), 65.
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Dr. Srinivasan Arulanandam
MNM Jain Engineering College, Chennai - India