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Authors: Balender Kumar 1 ; Aditya Nigam 2 and Phalguni Gupta 3

Affiliations: 1 Indian Institute of Technology Kanpur (IITK), India ; 2 Indian Institute of Technology Mandi (IIT Mandi), India ; 3 National Institute of Technical Teacher’s & Research (NITTTR) and Salt Lake, India

Keyword(s): Iris, Contact Lens, Hough Transform, Soft Contact Lens, Multi-scale Line Tracking.

Related Ontology Subjects/Areas/Topics: Applications ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Multimedia ; Multimedia Signal Processing ; Object Recognition ; Pattern Recognition ; Software Engineering ; Telecommunications

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 several formats:
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 - ICPRAM; ISBN 978-989-758-173-1; ISSN 2184-4313, SciTePress, pages 589-596. DOI: 10.5220/0005702005890596

@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 - ICPRAM},
year={2016},
pages={589-596},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005702005890596},
isbn={978-989-758-173-1},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Fully Automated Soft Contact Lens Detection from NIR Iris Images
SN - 978-989-758-173-1
IS - 2184-4313
AU - Kumar, B.
AU - Nigam, A.
AU - Gupta, P.
PY - 2016
SP - 589
EP - 596
DO - 10.5220/0005702005890596
PB - SciTePress

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