Title: An Efficient One-Dimensional Fractal Analysis for Iris Recognition
Authors: Teo, Chuan Chin
Ewe, Hong Tat
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.
Issue Date: 2005
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2005/Papers_2005/Short/!WSCG2005_Short_Proceedings_Final.pdf
ISBN: 80-903100-9-5
Keywords: rozpoznávání duhovky;1D fraktálová dimenze;operátor rozdílnosti
Keywords in different language: iris recognition;1D fractal dimension;dissimilarity operator
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.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2005: Short Papers

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