Iris Recognition Using Image Moments and k-Means Algorithm
Joint Authors
Khan, Sher Afzal
Islam, Saeed
Ahmad, Farooq
Khan, Yaser Daanial
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-01
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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%.
American Psychological Association (APA)
Khan, Yaser Daanial& Khan, Sher Afzal& Ahmad, Farooq& Islam, Saeed. 2014. Iris Recognition Using Image Moments and k-Means Algorithm. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050773
Modern Language Association (MLA)
Khan, Yaser Daanial…[et al.]. Iris Recognition Using Image Moments and k-Means Algorithm. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1050773
American Medical Association (AMA)
Khan, Yaser Daanial& Khan, Sher Afzal& Ahmad, Farooq& Islam, Saeed. Iris Recognition Using Image Moments and k-Means Algorithm. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050773
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050773