An Efficient One-Dimensional Fractal Analysis for Iris Recognition
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Date issued
2005
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Václav Skala - UNION Agency
Abstract
An iris recognition system is proposed in this paper. This system implements (a) the combination of proposed
black hole search method and integro-differential operators for iris localization, (b) one-dimensional fractal
analysis for feature extraction and (c) dissimilarity operator for matching. The black hole search method achieves
100% accuracy of pupil detection for both CASIA and MMU Iris databases. Experiment results show that the
proposed system has an encouraging result with low EER to 4.63% in CASIA iris database and 4.17% in MMU
iris database. It provides an alternative solution for iris recognition and acts as a spring board for further
investigation.
Description
Subject(s)
rozpoznávání duhovky, 1D fraktálová dimenze, operátor rozdílnosti
Citation
WSCG '2005: Short Papers: The 13-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005 in co-operation with EUROGRAPHICS, p. 157-160.