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Low-complexity iris coding and recognition based on directionlets

Research Output: Contribution to journal Article Peer-review

Abstract

A novel iris recognition method is presented. In the method, the iris features are extracted using the oriented separable wavelet transforms (directionlets) and they are compared in terms of a weighted Hamming distance. The feature extraction and comparison are shift-, size-, and rotation-invariant to the location of iris in the acquired image. The generated iris code is binary, whose length is fixed (and therefore commensurable), independent of the iris image, and comparatively short. The novel method shows a good performance when applied to a large database of irises and provides reliable identification and verification. At the same time, it preserves conceptual and computational simplicity and allows for a quick analysis and comparison of iris samples.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 410-417

Journal (Volume, Issue Number)

IEEE Transactions on Information Forensics and Security (Volume 4, Issue 3)

Publication milestones

  • Published - 01/09/2009

Publication status

Published - 01/09/2009

ISSN

1556-6013

External Publication IDs

  • handle.net: 10547/224171
  • Scopus: 69749101762

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