Volume : II, Issue : V, May - 2013

Feature Extraction of an Iris for Personal Authentication Based on Gabor Wavelet

Asha G. M. , Latha B. M.

Abstract :

An accurate biometric identification system is a critical requirement in a variety of applications. Iris recognition, as an emerging biometric recognition approach has an increasing emphasis on security and has become a popular research and practical applications in recent years due to its reliability and nearly perfect recognition rates. In this paper, we present a novel approach to iris recognition. Our goal is to develop a Log–Gabor Wavelet based algorithm that enhances iris images, and extracts the important features from the image. Then the similarity between two iris images is estimated using Hamming distance and comparison of threshold. The proposed technique is computationally effective with recognition rate of 99.97% on iris database. This approach will be simple and effective.

Keywords :

Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

Asha G. M., Latha B. M. Feature Extraction of an Iris for Personal Authentication Based on Gabor Wavelet International Journal of Scientific Research, Vol.II, Issue.V May 2013

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