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Reseach Article

Article:Iris Recognition Methods - Survey

by S V Sheela, P A Vijaya
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 3 - Number 5
Year of Publication: 2010
Authors: S V Sheela, P A Vijaya
10.5120/729-1022

S V Sheela, P A Vijaya . Article:Iris Recognition Methods - Survey. International Journal of Computer Applications. 3, 5 ( June 2010), 19-25. DOI=10.5120/729-1022

@article{ 10.5120/729-1022,
author = { S V Sheela, P A Vijaya },
title = { Article:Iris Recognition Methods - Survey },
journal = { International Journal of Computer Applications },
issue_date = { June 2010 },
volume = { 3 },
number = { 5 },
month = { June },
year = { 2010 },
issn = { 0975-8887 },
pages = { 19-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume3/number5/729-1022/ },
doi = { 10.5120/729-1022 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:51:16.886506+05:30
%A S V Sheela
%A P A Vijaya
%T Article:Iris Recognition Methods - Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 3
%N 5
%P 19-25
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The premise is that a biometric is a measurable physical characteristic which are reliable than passwords. Iris biometry is used to recognize an individual in a natural and intuitive way. Secure communications and mobile commerce are some of the application areas. Iris based security applications thrive on infra-red cameras and video cameras for logins and transaction authentications. Accuracy, algorithm speed and template size are attributes that are important for large-scale identity programs and national database applications. In this paper, different iris recognition methods which aid an appropriate outlook for future work to build integrated classifier on latest input devices for excellent business transactions are discussed. Benchmark databases, products are also discussed. Since the area is currently one of the most on the go and the bulk of research is very large, this survey covers some of the significant methods.

References
Index Terms

Computer Science
Information Sciences

Keywords

Iris Recognition Phase based method Texture-analysis Zero crossing Local intensity variations Independent Component Analysis Continuous Dynamic Programming