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), India
Keyword(s):
Soft Contact Lens, Gradient, Spoofing, Biometric.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Multimedia Forensics
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 i
ndicate that our method outperforms previous soft lens detection techniques in terms of False
Rejection Rate and False Acceptance Rate.
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