title: Iris recognition using image moments and k-means algorithm.
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%.
authors: School of Science and Technology, University of Management and Technology, Lahore 54000, Pakistan ; Department of Computer Science, AbdulWali Khan University, Mardan 23200, Pakistan.
authors: Yaser Daanial
authors: YD
authors: Khan
authors: Department of Computer Science, AbdulWali Khan University, Mardan 23200, Pakistan.
authors: Sher Afzal
authors: SA
authors: Khan
authors: Faculty of Information Technology, University of Central Punjab, 1-Khayaban-e-Jinnah Road, Johar Town, Lahore 54000, Pakistan.
authors: Farooq
authors: F
authors: Ahmad
authors: Department of Mathematics, AbdulWali Khan University, Mardan 23200, Pakistan.
authors: Saeed
authors: S
authors: Islam
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001699:Biometry / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007498:Iris / Q000033:anatomy & histology*; D010363:Pattern Recognition, Automated / Q000379:methods*