Iris synthesis: a reverse subdivision application

  • Authors:
  • Lakin Wecker;Faramarz Samavati;Marina Gavrilova

  • Affiliations:
  • University of Calgary;University of Calgary;University of Calgary

  • Venue:
  • GRAPHITE '05 Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
  • Year:
  • 2005

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Abstract

Due to renewed interest in security, iris images have become a popular biometric alternative to fingerprints for human identification. However, there exist very few databases on which researchers can test iris recognition technology. We present a novel method to augment existing databases through iris image synthesis. A multiresolution technique known as reverse subdivision is used to capture the necessary characteristics from existing irises, which are then combined to form a new iris image. In order to improve the results, a set of heuristics to classify iris images is proposed. We analyze the performance of these heuristics and provide preliminary results of the iris synthesis method.