Research Article
Human Identification based on Iris Recognition for Distant Images
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 45 - Issue 16 |
| Published: May 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 },
year = { 2012 },
volume = { 45 },
number = { 16 },
pages = { 32-39 },
doi = { 10.5120/6866-9470 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Shweta Arora
%A Narendra D. Londhe
%A Anuja Kumar Acharya
%T Human Identification based on Iris Recognition for Distant Images%T
%J International Journal of Computer Applications
%V 45
%N 16
%P 32-39
%R 10.5120/6866-9470
%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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