IJERT-EMS
IJERT-EMS

Comparative Study of Iris Databases and UBIRIS Database for Iris Recognition Methods for Non-Cooperative Environment


Comparative Study of Iris Databases and UBIRIS Database for Iris Recognition Methods for Non-Cooperative Environment
Authors : Rishabh Parashar, Sandeep Joshi
Publication Date: 02-08-2012

Authors

Author(s):  Rishabh Parashar, Sandeep Joshi

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.1 - Issue 5 (July - 2012)

e-ISSN:   2278-0181

Abstract

Iris recognition is one of the most secure biometric approach as it is non-invasive and stable throughout life. For the purpose of research and development of Iris recognition technology there are few public and freely available databases to have sample images. These iris databases contributes rich amount of iris images which were taken in different environments. In this paper we will discuss and compare the main characteristics of the public and freely available iris image databases to find the suitable one to test feature extraction method of iris recognition in non- cooperative environment. We also illustrate the types of noise that images from each database contain. Based on the analysis of these noise factors, we present the main motivations that led us to the construction of UBIRIS database and highlight the main factors in the comparison with the remaining ones.

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