• DocumentCode
    2902931
  • Title

    Variation in accuracy of textured contact lens detection based on sensor and lens pattern

  • Author

    Doyle, James S. ; Bowyer, Kevin W. ; Flynn, Patrick J.

  • fYear
    2013
  • fDate
    Sept. 29 2013-Oct. 2 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Automatic detection of textured contact lenses in images acquired for iris recognition has been studied by several researchers. However, to date, the experimental results in this area have all been based on the same manufacturer of contact lenses being represented in both the training data and the test data and only one previous work has considered images from more than one iris sensor. Experimental results in this work show that accuracy of textured lens detection can drop dramatically when tested on a manufacturer of lenses not seen in the training data, or when the iris sensor in use varies between the training and test data. These results suggest that the development of a fully general approach to textured lens detection is a problem that still requires attention.
  • Keywords
    image sensors; image texture; iris recognition; lenses; automatic detection; iris sensor; lens pattern; sensor pattern; textured contact lens detection; textured lens detection; Accuracy; Feature extraction; Iris; Iris recognition; Lenses; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biometrics: Theory, Applications and Systems (BTAS), 2013 IEEE Sixth International Conference on
  • Conference_Location
    Arlington, VA
  • Type

    conf

  • DOI
    10.1109/BTAS.2013.6712745
  • Filename
    6712745