Human Identification based on Iris Recognition for Distant Images
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10.5120/6866-9470 |
Shweta Arora, Narendra D Londhe and Anuja Kumar Acharya. Article: Human Identification based on Iris Recognition for Distant Images. International Journal of Computer Applications 45(16):32-39, May 2012. Full text available. BibTeX
@article{key:article,
author = {Shweta Arora and Narendra D. Londhe and Anuja Kumar Acharya},
title = {Article: Human Identification based on Iris Recognition for Distant Images},
journal = {International Journal of Computer Applications},
year = {2012},
volume = {45},
number = {16},
pages = {32-39},
month = {May},
note = {Full text available}
}
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.
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