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Abstract
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Article Information:
Analysis and Reliability Performance Comparison of Different Facial Image Features
J. Madhavan and K. Porkumaran
Corresponding Author: J. Madhavan
Submitted: August 22, 2014
Accepted: October 11, 2014
Published: November 15, 2014 |
Abstract:
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This study performs reliability analysis on the different facial features with weighted retrieval accuracy on increasing facial database images. There are many methods analyzed in the existing papers with constant facial databases mentioned in the literature review. There were not much work carried out to study the performance in terms of reliability and also how the method will perform on increasing the size of the database. In this study certain feature extraction methods were analyzed on the regular performance measure and also the performance measures are modified to fit the real time requirements by giving weight ages for the closer matches. In this study four facial feature extraction methods are performed, they are DWT with PCA, LWT with PCA, HMM with SVD and Gabor wavelet with HMM. Reliability of these methods are analyzed and reported. Among all these methods Gabor wavelet with HMM gives more reliability than other three methods performed. Experiments are carried out to evaluate the proposed approach on the Olivetti Research Laboratory (ORL) face database.
Key words: DWT, gabor filter, HMM, LWT, PCA, ,
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Abstract
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Cite this Reference:
J. Madhavan and K. Porkumaran, . Analysis and Reliability Performance Comparison of Different Facial Image Features. Research Journal of Applied Sciences, Engineering and Technology, (18): 1973-1979.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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