Fully Automated Soft Contact Lens Detection from NIR Iris Images

Balender Kumar, Aditya Nigam, Phalguni Gupta

Abstract

Iris is considered as one of the best biometric trait for human authentication due to its accuracy and permanence. However easy iris spoofing raise the risk of false acceptance or false rejection. Recent iris recognition research has made an attempt to quantify the performance degradation due to the use of contact lens. This study proposes a strategy to detect soft contact lens in visual pictures of the eye obtained using NIR sensor. The lens border is detected by considering small annular ring-like area near the outer iris boundary and locating candidate points while traversing along the lens perimeter. The system performance is evaluated over public databases such as IIITD-Cogent, UND 2010, IIITD-Vista along with our self created IITK database. The rigorous experimentation revels the superior performance of the proposed system as compared with other existing techniques.

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Paper Citation


in Harvard Style

Kumar B., Nigam A. and Gupta P. (2016). Fully Automated Soft Contact Lens Detection from NIR Iris Images . In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-173-1, pages 589-596. DOI: 10.5220/0005702005890596


in Bibtex Style

@conference{icpram16,
author={Balender Kumar and Aditya Nigam and Phalguni Gupta},
title={Fully Automated Soft Contact Lens Detection from NIR Iris Images},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2016},
pages={589-596},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005702005890596},
isbn={978-989-758-173-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Fully Automated Soft Contact Lens Detection from NIR Iris Images
SN - 978-989-758-173-1
AU - Kumar B.
AU - Nigam A.
AU - Gupta P.
PY - 2016
SP - 589
EP - 596
DO - 10.5220/0005702005890596