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| Histogram Gabor Phase Pattern and Adaptive Binning Technique in Feature Selection for Face Verification
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Full
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 PDF(667KB) |
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Source |
International Journal of Image Processing (IJIP) |
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Table of Contents |
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Download
Complete Issue PDF(4.73MB) |
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Volume: 5 Issue: 1 |
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Pages: 1-108 |
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Publication
Date: March / April 2011 |
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ISSN
(Online): 1985-2304 |
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Pages |
90 - 100 |
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Author(s) |
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Published
Date |
04-04-2011 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Face recognition,, Gabor Wavelets,, Local Gabor Phase pattern, , Global Gabor Phase Pattern, , Adaptive Binning, , Spatial Histograms |
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| 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. |
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| Srinivasan Arulanandam : Colleagues
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