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A Framework for Face Recognition Using Adaptive Binning and Adaboost Techniques

Author(s): Srinivasan A

Journal: International Journal of Multimedia & Its Applications
ISSN 0975-5934

Volume: 3;
Issue: 1;
Start page: 76;
Date: 2011;
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Keywords: Face Recognition | Adaptive Binning | Adaboost | Classifiers | Histogram

In this paper, a novel framework for face recognition is developed by using adaptive binning and adaboost technique. Adaptive binning is an efficient classifier technique to classify the object and theresults are represented in Histogram Gabor Phase Pattern [HGPP]. The resultant HGPP is again applied with an adaboost classification technique to improve the efficiency of the pattern by furtherreducing the computational complexity. This new framework is experimentally verified with FERET and found that the recognition rate of the system is improved. The main feature of this system is a unified model for assessing all the probe sets of the face images and best results are thus achieved.
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