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Reseach Article

Comparative Analysis of Iris Recognition Techniques: A Review

Published on December 2016 by Navjot Saini, Vikramjit Kang
National Symposium on Modern Information and Communication Technologies for Digital India
Foundation of Computer Science USA
MICTDI2016 - Number 3
December 2016
Authors: Navjot Saini, Vikramjit Kang
a1b96345-5f7a-44d1-9da1-37606022e397

Navjot Saini, Vikramjit Kang . Comparative Analysis of Iris Recognition Techniques: A Review. National Symposium on Modern Information and Communication Technologies for Digital India. MICTDI2016, 3 (December 2016), 23-27.

@article{
author = { Navjot Saini, Vikramjit Kang },
title = { Comparative Analysis of Iris Recognition Techniques: A Review },
journal = { National Symposium on Modern Information and Communication Technologies for Digital India },
issue_date = { December 2016 },
volume = { MICTDI2016 },
number = { 3 },
month = { December },
year = { 2016 },
issn = 0975-8887,
pages = { 23-27 },
numpages = 5,
url = { /proceedings/mictdi2016/number3/26564-1627/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Symposium on Modern Information and Communication Technologies for Digital India
%A Navjot Saini
%A Vikramjit Kang
%T Comparative Analysis of Iris Recognition Techniques: A Review
%J National Symposium on Modern Information and Communication Technologies for Digital India
%@ 0975-8887
%V MICTDI2016
%N 3
%P 23-27
%D 2016
%I International Journal of Computer Applications
Abstract

Iris Recognition system is one of the prominent Biometric authentication system. Among all other biometrics, iris is mainly because of its easy accessibility, efficiency and uniqueness. This system is used in personal security system, access control systems, identification for Automatic Teller Machines (ATMs) and police evidence security. For effective functioning of iris recognition system, researchers have to deal with various challenges like images taken in unconstrained environment, clamorous images, obscure images, occluded image affected by eyelids and eyelashes, and many more. The various challenges involved in iris recognition limit the efficiency of Iris recognition techniques. The purpose of this review paper is to study steps involved in iris recognition system and examine various techniques used for each recognition step. Performance of various Iris Recognition algorithms are compared in terms of performance parameters such as False Acceptance Rate, False rejection Rate and Computation time.

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Index Terms

Computer Science
Information Sciences

Keywords

Biometrics Iris Bidimensional Empirical Mode Decomposition Discrete Cosine Transform Neural Network.