| 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 conferenceObject |
| URI: | http://wscg.zcu.cz/WSCG2005/Papers_2005/Short/!WSCG2005_Short_Proceedings_Final.pdf http://hdl.handle.net/11025/11233 |
| 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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