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IJSEA Archive (Volume 2, Issue 3)

International Journal of Science and Engineering Applications (IJSEA)  (Volume 2, Issue 3 - March 2013)

A Promising technique for feature extraction and detection of faces using Sparsity - Enforcing Method

Banurekha.K. M, Nelgadevi. M, Vijayaselvarani. S

10.7753/IJSEA0203.1001




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    Keywords: Support Vector Machines, Sparsity – Enforcing, Bayesian, AdaBoost.

Abstract References BibText


        This paper proposes a sparsity enforcing based face detection with three kinds of classifiers. The feature extraction is done on the basis of rectangular feature from the integral image of the face. Sparsity enforcing method is applied for the dimension reduction on rectangular features from the generated Integral image. The performance of the classifier such as Support Vector Machines, Bayesian and AdaBoost are analyzed with the proper testing procedure. The analysis is also made, how the classifier performs according to the training sample size. Experimental results on three widely used face databases are presented to demonstrate the efficiency of the proposed approach.


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@article{banurekha02031001,
title = "Chaotic behavior and its control in a two parameter map with variable Jacobian ",
journal = "International Journal of Science and Engineering Applications (IJSEA)",
volume = "2",
number = "3",
pages = "36 - 43",
year = "2013",
author = "Banurekha.K.M, Nelgadevi. M, Vijayaselvarani. S ",
}