• DocumentCode
    3065110
  • Title

    Cross spectral iris matching based on predictive image mapping

  • Author

    Zuo, Jinyu ; Nicolo, Francesco ; Schmid, Natalia A.

  • Author_Institution
    Lane Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA
  • fYear
    2010
  • fDate
    27-29 Sept. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    An adaptive method to predict NIR channel image from color iris images is introduced. Both visual inspection of the predicted image and the verification performance indicate that the adaptive mapping linking NIR image and color image is a potential solution to the problem of matching NIR images vs. color images in practice. When matched against NIR enrolled image the predicted NIR image achieves significantly high performance compared to the case when the same NIR image is matched against R channel alone.
  • Keywords
    eye; image colour analysis; image matching; infrared imaging; iris recognition; NIR channel image prediction; color iris image; cross spectral iris matching; near infrared image; predictive image mapping; Image color analysis; Image segmentation; Iris; Iris recognition; Predictive models; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biometrics: Theory Applications and Systems (BTAS), 2010 Fourth IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-7581-0
  • Electronic_ISBN
    978-1-4244-7580-3
  • Type

    conf

  • DOI
    10.1109/BTAS.2010.5634511
  • Filename
    5634511