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Iris Indexing Techniques: A Review

by N. Poonguzhali, M. Ezhilarasan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 18
Year of Publication: 2013
Authors: N. Poonguzhali, M. Ezhilarasan
10.5120/12842-0171

N. Poonguzhali, M. Ezhilarasan . Iris Indexing Techniques: A Review. International Journal of Computer Applications. 73, 18 ( July 2013), 23-29. DOI=10.5120/12842-0171

@article{ 10.5120/12842-0171,
author = { N. Poonguzhali, M. Ezhilarasan },
title = { Iris Indexing Techniques: A Review },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 18 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 23-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number18/12842-0171/ },
doi = { 10.5120/12842-0171 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:40:28.178497+05:30
%A N. Poonguzhali
%A M. Ezhilarasan
%T Iris Indexing Techniques: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 18
%P 23-29
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The objective of this paper is to present the state of art in iris indexing. The potential raise of accurateness along with enhanced robustness beside forgeries makes in fact iris recognition a promising field for research. The performance of a biometric system is evaluated based on the retrieval time and error rate which are dependent on the size of the database and hence the need for indexing. Iris indexing can be categorized based on the texture analysis, color and SFIT key point. Further the paper discusses the description of some databases used for indexing techniques to prove the efficiency. The performance evaluation metrics are also discussed.

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Index Terms

Computer Science
Information Sciences

Keywords

Biometric iris indexing performance metrics databases

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