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Human Identification based on Iris Recognition for Distant Images

by Shweta Arora, Narendra D. Londhe, Anuja Kumar Acharya
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 45 - Number 16
Year of Publication: 2012
Authors: Shweta Arora, Narendra D. Londhe, Anuja Kumar Acharya
10.5120/6866-9470

Shweta Arora, Narendra D. Londhe, Anuja Kumar Acharya . Human Identification based on Iris Recognition for Distant Images. International Journal of Computer Applications. 45, 16 ( May 2012), 32-39. DOI=10.5120/6866-9470

@article{ 10.5120/6866-9470,
author = { Shweta Arora, Narendra D. Londhe, Anuja Kumar Acharya },
title = { Human Identification based on Iris Recognition for Distant Images },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 45 },
number = { 16 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 32-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume45/number16/6866-9470/ },
doi = { 10.5120/6866-9470 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:37:46.966019+05:30
%A Shweta Arora
%A Narendra D. Londhe
%A Anuja Kumar Acharya
%T Human Identification based on Iris Recognition for Distant Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 45
%N 16
%P 32-39
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Iris Recognition is one of the most powerful biometrically based technologies for human identification and verification that utilizes the iris patterns which exhibits uniqueness for every individual. In this manuscript, a new algorithm is proposed for iris recognition on distant images. The novelty of this algorithm includes recognition through iris patterns based on both the left and right eye of an individual so as to improve the recognition accuracy and computational efficiency. Experimental tests were performed using CASIA Iris Distance Database which a subset of CASIA V4 Database. The methodology found encouraging development in the field of Iris Recognition.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Iris Recognition System Hough Transform Hamming Distance

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