Iris recognition using image moments and k-means algorithm

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Date: Annual 2014
Publisher: Hindawi Limited
Document Type: Report
Length: 5,047 words
Lexile Measure: 1270L

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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%.

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Gale Document Number: GALE|A413712767