DocumentCode :
45339
Title :
Unraveling the Effect of Textured Contact Lenses on Iris Recognition
Author :
Yadav, Daksha ; Kohli, Naman ; Doyle, James S. ; Singh, Richa ; Vatsa, Mayank ; Bowyer, Kevin W.
Author_Institution :
Lane Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA
Volume :
9
Issue :
5
fYear :
2014
fDate :
May-14
Firstpage :
851
Lastpage :
862
Abstract :
The presence of a contact lens, particularly a textured cosmetic lens, poses a challenge to iris recognition as it obfuscates the natural iris patterns. The main contribution of this paper is to present an in-depth analysis of the effect of contact lenses on iris recognition. Two databases, namely, the IIIT-D Iris Contact Lens database and the ND-Contact Lens database, are prepared to analyze the variations caused due to contact lenses. We also present a novel lens detection algorithm that can be used to reduce the effect of contact lenses. The proposed approach outperforms other lens detection algorithms on the two databases and shows improved iris recognition performance.
Keywords :
image texture; iris recognition; visual databases; IIIT-D iris contact lens database; ND contact lens database; iris recognition; textured contact lenses; textured cosmetic lens; Databases; Image color analysis; Iris; Iris recognition; Lenses; Probes; Training; Iris recognition; contact lens; lens detection;
fLanguage :
English
Journal_Title :
Information Forensics and Security, IEEE Transactions on
Publisher :
ieee
ISSN :
1556-6013
Type :
jour
DOI :
10.1109/TIFS.2014.2313025
Filename :
6776569
Link To Document :
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