• DocumentCode
    3646390
  • Title

    Impact of common ophthalmic disorders on iris segmentation

  • Author

    G. McConnon;F. Deravi;S. Hoque;K. Sirlantzis;G. Howells

  • Author_Institution
    School of Engineering and Digital Arts, University of Kent, Canterbury, UK
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    277
  • Lastpage
    282
  • Abstract
    As iris recognition moves from constrained indoor and near-infrared systems towards unconstrained on-the-move and at-a-distance systems, possibly using visible light illumination, interest in measurement of the fidelity of the acquired images and their impact on recognition performance has grown. However, the impact of the subject´s physiological characteristics on the nature of the acquired images has received little attention. In this paper we catalog a selection of the most common ophthalmic disorders and investigate some of their characteristics including their prevalence and possible impact on recognition performance. The paper also includes an experimental exploration of the effect of such conditions on segmentation of the iris image.
  • Keywords
    "Iris recognition","Image segmentation","Surgery","Lenses","Feature extraction"
  • Publisher
    ieee
  • Conference_Titel
    Biometrics (ICB), 2012 5th IAPR International Conference on
  • Print_ISBN
    978-1-4673-0396-5
  • Type

    conf

  • DOI
    10.1109/ICB.2012.6199820
  • Filename
    6199820