Iris Recognition at a Distance

  • Craig Fancourt
  • Luca Bogoni
  • Keith Hanna
  • Yanlin Guo
  • Richard Wildes
  • Naomi Takahashi
  • Uday Jain
Conference paper

DOI: 10.1007/11527923_1

Volume 3546 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Fancourt C. et al. (2005) Iris Recognition at a Distance. In: Kanade T., Jain A., Ratha N.K. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2005. Lecture Notes in Computer Science, vol 3546. Springer, Berlin, Heidelberg

Abstract

We describe experiments demonstrating the feasibility of human iris recognition at up to 10 m distance between subject and camera. The iris images of 250 subjects were captured with a telescope and infrared camera, while varying distance, capture angle, environmental lighting, and eyewear. Automatic iris localization and registration algorithms, in conjunction with a local correlation based matcher, were used to obtain a similarity score between gallery and probe images. Both the area under the receiver operating characteristic (ROC) curve and the Fisher Linear Discriminant were used to measure the distance between authentic and imposter distributions. Among variables studied, database wide experiments reveal no performance degradation with distance, and minor performance degradation with, in order of increasing effect, time (one month), capture angle, and eyewear.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Craig Fancourt
    • 1
  • Luca Bogoni
    • 1
  • Keith Hanna
    • 1
  • Yanlin Guo
    • 1
  • Richard Wildes
    • 1
  • Naomi Takahashi
    • 1
  • Uday Jain
    • 1
  1. 1.Sarnoff CorpPrincetonUSA