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Improved Iris Recognition in 2D Eigen Space

by Abhijit Das, Ranjan Parekh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 19
Year of Publication: 2012
Authors: Abhijit Das, Ranjan Parekh
10.5120/8314-1247

Abhijit Das, Ranjan Parekh . Improved Iris Recognition in 2D Eigen Space. International Journal of Computer Applications. 52, 19 ( August 2012), 1-6. DOI=10.5120/8314-1247

@article{ 10.5120/8314-1247,
author = { Abhijit Das, Ranjan Parekh },
title = { Improved Iris Recognition in 2D Eigen Space },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 19 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number19/8314-1247/ },
doi = { 10.5120/8314-1247 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:52:43.542367+05:30
%A Abhijit Das
%A Ranjan Parekh
%T Improved Iris Recognition in 2D Eigen Space
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 19
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper a new biometric method for personal identification is been presented by iris identification of a person in lower dimensionality and reduced template size than the other previous approaches in 2D Eigen space, so that it can be use for verification in application areas . Here the iris images are expressed in lower dimension, re-tending its features by using covariance matrix and Eigen matrix to a covariant-Eigen space vector. The proposed approach is also suitable to work on half iris image. The proposed approach shows high accurate result.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Covariance matrix Eigen matrix Covariant-Eigen space

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