Automated Soft Contact Lens Detection using Gradient based Information

Balender Kumar, Aditya Nigam, Phalguni Gupta

2016

Abstract

The personal identification number (PIN), credit card numbers and email passwords etc have something in common. All of them can easily be guessed or stolen. Currently, users have been encouraged to create strong passwords by using biometric techniques like fingerprint, palmprint, iris and other such traits. In all biometric techniques, iris recognition can be considered as one of the best, well known and accurate technique but it can be spoofed very easily using plastic eyeballs, printed iris and contact lens. Attacks by using soft contact lens are more challenging because they have transparent texture that can blur the iris texture. In this paper a robust algorithm to detect the soft contact lens by working through a small ring-like area near the outer edge from the limbs boundary and calculate the gradient of candidate points along the lens perimeter is proposed. Experiments are conducted on IIITD-Vista, IIITD-Cogent, UND 2010 and our indigenous database. Result of the experiment indicate that our method outperforms previous soft lens detection techniques in terms of False Rejection Rate and False Acceptance Rate.

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Paper Citation


in Harvard Style

Kumar B., Nigam A. and Gupta P. (2016). Automated Soft Contact Lens Detection using Gradient based Information . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 356-363. DOI: 10.5220/0005723903560363


in Bibtex Style

@conference{visapp16,
author={Balender Kumar and Aditya Nigam and Phalguni Gupta},
title={Automated Soft Contact Lens Detection using Gradient based Information},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={356-363},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005723903560363},
isbn={978-989-758-175-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)
TI - Automated Soft Contact Lens Detection using Gradient based Information
SN - 978-989-758-175-5
AU - Kumar B.
AU - Nigam A.
AU - Gupta P.
PY - 2016
SP - 356
EP - 363
DO - 10.5220/0005723903560363