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Journal of the Optical Society of Korea

Journal of the Optical Society of Korea


  • Vol. 13, Iss. 1 — Mar. 25, 2009
  • pp: 116–122

A Robust Approach to Automatic Iris Localization

Chengzhe Xu, Tauseef Ali, and In-Taek Kim  »View Author Affiliations

Journal of the Optical Society of Korea, Vol. 13, Issue 1, pp. 116-122 (2009)

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In this paper, a robust method is developed to locate the irises of both eyes. The method doesn't put any restrictions on the background. The method is based on the AdaBoost algorithm for face and eye candidate points detection. Candidate points are tuned such that two candidate points are exactly in the centers of the irises. Mean crossing function and convolution template are proposed to filter out candidate points and select the iris pair. The advantage of using this kind of hybrid method is that AdaBoost is robust to different illumination conditions and backgrounds. The tuning step improves the precision of iris localization while the convolution filter and mean crossing function reliably filter out candidate points and select the iris pair. The proposed structure is evaluated on three public databases, Bern, Yale and BioID. Extensive experimental results verified the robustness and accuracy of the proposed method. Using the Bern database, the performance of the proposed algorithm is also compared with some of the existing methods.

© 2009 Optical Society of Korea

OCIS Codes
(070.5010) Fourier optics and signal processing : Pattern recognition
(100.2000) Image processing : Digital image processing
(150.0150) Machine vision : Machine vision

Original Manuscript: November 10, 2008
Revised Manuscript: February 2, 2009
Manuscript Accepted: February 17, 2009
Published: March 25, 2009

Chengzhe Xu, Tauseef Ali, and In-Taek Kim, "A Robust Approach to Automatic Iris Localization," J. Opt. Soc. Korea 13, 116-122 (2009)

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