• DocumentCode
    2074411
  • Title

    Multispectral Iris Analysis: A Preliminary Study51

  • Author

    Boyce, Christopher ; Ross, Arun ; Monaco, Matthew ; Hornak, Lawrence ; Li, Xin

  • Author_Institution
    West Virginia University, USA
  • fYear
    2006
  • fDate
    17-22 June 2006
  • Firstpage
    51
  • Lastpage
    51
  • Abstract
    This paper explores the possibility of using multispectral iris information to enhance the recognition performance of an iris biometric system. Commercial iris recognition systems typically sense the iridal reflection pertaining to the near-infrared (IR) range of the electromagnetic spectrum. This work examines the iris information represented in the visible and IR portion of the spectrum. It is hypothesized that, based on the color of the eye, different components of the iris are highlighted at multiple wavelengths. To this end, an acquisition procedure for obtaining co-registered multispectral iris images associated with the IR, Red, Green and Blue wavelengths of the electromagnetic spectrum, is first discussed. The components of the iris that are revealed in multiple spectral channels/wavelengths based on the color of the eye are studied. An adaptive histogram equalization scheme is invoked to enhance the iris structure. The performance of iris recognition across multiple wavelengths is next evaluated. Experiments indicate the potential of using multispectral information to enhance the performance of iris recognition systems.
  • Keywords
    Anatomy; Computer science; Connective tissue; Focusing; Iris recognition; Muscles; Pattern analysis; Pigmentation; Reflectivity; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshop, 2006. CVPRW '06. Conference on
  • Print_ISBN
    0-7695-2646-2
  • Type

    conf

  • DOI
    10.1109/CVPRW.2006.141
  • Filename
    1640491