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Proceedings Paper

Using block-based spectral angle measure for iris pattern matching
Author(s): Yingzi Du; Danny Isklandar
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Paper Abstract

Iris pattern matching is a key step in iris patter recognition system. This paper proposes a new approach for iris pattern matching using block-based spectral angle measure (SAM). The iris patterns in this paper are extracted using Log-Gabor wavelet method. The proposed SAM method will capture not only the phase information, but also the magnitude information. The block based method will enable the flexibility in the pattern matching step, which improves the accuracy and is more tolerable of the pattern dilation/constrain resulted from imperfect preprocessing. The preliminary experimental results show that the proposed method has an encouraging performance.

Paper Details

Date Published: 27 February 2007
PDF: 9 pages
Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 64970H (27 February 2007); doi: 10.1117/12.702640
Show Author Affiliations
Yingzi Du, Indiana Univ.-Purdue Univ. Indianapolis (United States)
Danny Isklandar, Indiana Univ.-Purdue Univ. Indianapolis (United States)


Published in SPIE Proceedings Vol. 6497:
Image Processing: Algorithms and Systems V
Jaakko T. Astola; Karen O. Egiazarian; Edward R. Dougherty, Editor(s)

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