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Comparison of Two Iris Localization Algorithms

by R.b. Dubey, Abhimanyu Madan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 7
Year of Publication: 2015
Authors: R.b. Dubey, Abhimanyu Madan
10.5120/19197-0821

R.b. Dubey, Abhimanyu Madan . Comparison of Two Iris Localization Algorithms. International Journal of Computer Applications. 109, 7 ( January 2015), 1-8. DOI=10.5120/19197-0821

@article{ 10.5120/19197-0821,
author = { R.b. Dubey, Abhimanyu Madan },
title = { Comparison of Two Iris Localization Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 7 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number7/19197-0821/ },
doi = { 10.5120/19197-0821 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:44:07.636589+05:30
%A R.b. Dubey
%A Abhimanyu Madan
%T Comparison of Two Iris Localization Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 7
%P 1-8
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Iris recognition is regarded as a most reliable and accurate biometric identification system. Daugman's Integro-differential operator is a linear search method which makes the identification process extremely slow as well as increases the false acceptance rate beyond an acceptable range. The present work uses distance regularized level set evolution (DRLSE) method on CASIA-V3-Interval database and applies a suitable algorithm to detect the iris from an image. The two techniques i. e. , Daugman's Integro-differential operator and DRLSE are compared based on accuracy and time taken to localize the iris.

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Index Terms

Computer Science
Information Sciences

Keywords

Iris localization Daugman's Integro-differential operator distance regularized level set evolution algorithm.

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