Iris Recognition Using Image Moments and k-Means Algorithm

被引：28
|
作者：
Khan, Yaser Daanial [1 ,2 ]
Khan, Sher Afzal [2 ]
Ahmad, Farooq [3 ]
Islam, Saeed [4 ]
机构：
[1] Univ Management & Technol, Sch Sci & Technol, Lahore 54000, Pakistan
[2] Abdul Wali Khan Univ, Dept Comp Sci, Mardan 23200, Pakistan
[3] Univ Cent Punjab, Fac Informat Technol, Lahore 54000, Pakistan
[4] Abdul Wali Khan Univ, Dept Math, Mardan 23200, Pakistan
来源：
SCIENTIFIC WORLD JOURNAL | 2014年
关键词：
PATTERN-RECOGNITION;
D O I：
10.1155/2014/723595
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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%.
引用
收藏
页数：9
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