Image understanding for iris biometrics: A survey

  • Authors:
  • Kevin W. Bowyer;Karen Hollingsworth;Patrick J. Flynn

  • Affiliations:
  • Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN 46556, USA;Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN 46556, USA;Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN 46556, USA

  • Venue:
  • Computer Vision and Image Understanding
  • Year:
  • 2008

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Abstract

This survey covers the historical development and current state of the art in image understanding for iris biometrics. Most research publications can be categorized as making their primary contribution to one of the four major modules in iris biometrics: image acquisition, iris segmentation, texture analysis and matching of texture representations. Other important research includes experimental evaluations, image databases, applications and systems, and medical conditions that may affect the iris. We also suggest a short list of recommended readings for someone new to the field to quickly grasp the big picture of iris biometrics.