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Proceedings Paper

Iris recognition with compact zero-crossing-based coding
Author(s): Adam Czajka; Przemek Strzelczyk
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Paper Abstract

We propose an iris recognition technique using transformation of the iris image into a binary sequence that represents zero-crossing points of the filtered image by way of Laplacian of Gaussians. Novel iris localization and occlusion detection methods are developed to transform the iris image into the sequence of 1D stripes. The proposed enrollment procedure includes an independent selection of iris stripes among a number of enrollment images to minimize the recognition errors. The eyeball spontaneous rotation is corrected at the verification stage. The methodology was tested with a local database of 180 different irises, revealing the EER (Equal Error Rate) at the level of 0.03%.

Paper Details

Date Published: 12 October 2006
PDF: 10 pages
Proc. SPIE 6347, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2006, 634723 (12 October 2006); doi: 10.1117/12.714578
Show Author Affiliations
Adam Czajka, Research and Academic Computer Network, NASK (Poland)
Warsaw Univ. of Technology (Poland)
Przemek Strzelczyk, Research and Academic Computer Network, NASK (Poland)
Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 6347:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2006
Ryszard S. Romaniuk, Editor(s)

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