• DocumentCode
    1780658
  • Title

    Iris pattern obfuscation in digital images

  • Author

    Thavalengal, Shejin ; Vranceanu, Ruxandra ; Condorovici, Razvan G. ; Corcoran, Peter

  • Author_Institution
    FotoNation, Galway, Ireland
  • fYear
    2014
  • fDate
    Sept. 29 2014-Oct. 2 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    As the imaging systems in handheld devices continue to improve, both in terms of optical quality and the use of advanced computational imaging techniques, we are close to a point where high quality iris images can be obtained from personal images, which in turn can be used for spoofing attacks against iris recognition system. Thus an emerging challenge for next-generation personal imaging devices is to provide a means to obfuscate iris pattern in digital photographs and videos, but without destroying the photo-realistic qualities of the eye regions in a photograph or video. This will effectively reduce the chance of obtaining iris patterns easily, which can be later used for spoofing. In this paper we propose five different techniques for iris pattern obfuscation and perform some initial testing to evaluate which are more robust. In addition some representative samples are provided of the visible effects on the appearance of eye regions.
  • Keywords
    iris recognition; computational imaging technique; digital image; handheld device; iris pattern obfuscation; iris recognition system; next-generation personal imaging device; optical quality; photo-realistic quality; Cameras; Face; Image color analysis; Iris; Iris recognition; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biometrics (IJCB), 2014 IEEE International Joint Conference on
  • Conference_Location
    Clearwater, FL
  • Type

    conf

  • DOI
    10.1109/BTAS.2014.6996276
  • Filename
    6996276