• 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