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The Scientific World Journal
Volume 2014, Article ID 723595, 9 pages
http://dx.doi.org/10.1155/2014/723595
Research Article

Iris Recognition Using Image Moments and k-Means Algorithm

1School of Science and Technology, University of Management and Technology, Lahore 54000, Pakistan
2Department of Computer Science, AbdulWali Khan University, Mardan 23200, Pakistan
3Faculty of Information Technology, University of Central Punjab, 1-Khayaban-e-Jinnah Road, Johar Town, Lahore 54000, Pakistan
4Department of Mathematics, AbdulWali Khan University, Mardan 23200, Pakistan

Received 11 January 2014; Accepted 19 February 2014; Published 1 April 2014

Academic Editors: Y.-B. Yuan and S. Zhao

Copyright © 2014 Yaser Daanial Khan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper presents a biometric technique for identification of a person using the iris image. The iris is first segmented from the acquired image of an eye using an edge detection algorithm. The disk shaped area of the iris is transformed into a rectangular form. Described moments are extracted from the grayscale image which yields a feature vector containing scale, rotation, and translation invariant moments. Images are clustered using the k-means algorithm and centroids for each cluster are computed. An arbitrary image is assumed to belong to the cluster whose centroid is the nearest to the feature vector in terms of Euclidean distance computed. The described model exhibits an accuracy of 98.5%.