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Comparative study of Iris Recognition using Neville’s Algorithm and Symmetric Framelet

Shashidhara H.R., Aswatha A.R.. Published in Algorithms

International Journal of Applied Information Systems
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Shashidhara H.R., Aswatha A.R.
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  1. Shashidhara H.R. and Aswatha A.R.. Article: Comparative study of Iris Recognition using Neville’s Algorithm and Symmetric Framelet. International Journal of Applied Information Systems 9(7):11-16, September 2015. BibTeX

    	author = "Shashidhara H.R. and Aswatha A.R.",
    	title = "Article: Comparative study of Iris Recognition using Neville’s Algorithm and Symmetric Framelet",
    	journal = "International Journal of Applied Information Systems",
    	year = 2015,
    	volume = 9,
    	number = 7,
    	pages = "11-16",
    	month = "September",
    	note = "Published by Foundation of Computer Science (FCS), NY, USA"


The iris recognition is a highly secured and unified authentication of a person. In this paper the necessary features of iris region is extracted from the eye image by using two algorithms. The algorithms used for to extract the features are Neville’s algorithm and Symmetric framelet. The iris region is extracted through the segmentation process by applying thresholding. The Neville’s method is an interpolating subdivision method, which generates the halfway values of the two nearest database segmented iris image pixels. The symmetric framelet calculates the conditional symmetry between two components of iris image. The proposed method improves the efficiency and accuracy of the iris recognition system. The experimental results shows that the iris recognition with low false acceptance ratio and false rejection ratio and high success rate.


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Segmentation, Doughman, Neville's algorithm, Symmetric framelet, Hamming distance.