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Efficient Iris Recognition through Improvement of Feature Vector and Classifier
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Shinyoung Lim , Kwanyong Lee , Okhwan Byeon , and Taiyun Kim
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| Abstract : |
In this paper, we propose an efficient method for personal identification by analyzing iris patterns that have a high level of stability and distinctiveness. To improve the efficiency and accuracy of the proposed system, we present a new approach to makin |
| Key word : |
Iris recognition, feature extraction, winner selection algorithm |
| DOI : |
http://dx.doi.org/10.4218/etrij.01.0101.0203 |
| Cite this : |
Shinyoung Lim, Kwanyong Lee, Okhwan Byeon, and Taiyun Kim, "Efficient Iris Recognition through Improvement of Feature Vector and Classifier," ETRI Journal, vol. 23, no. 2, June 2001,
pp. 61-70. http://dx.doi.org/10.4218/etrij.01.0101.0203
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| References : |
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| 3. | Flom L. and Safir A., "Iris recognition system," U.S. Patent 4 641 349, 1987. |
| 9. | Randy K. Young, Wavelet Theory and Its Application, Kluwer Academic Publisher, 1992. |
| 10. | Rioul O. and Vetterli M., "Wavelet and Signal Processing", IEEE Signal Processing Magazine, October 1981, pp. 14-38. |
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| 12. | Fausset L., Fundamentals of Neural Networks, Prentice Hall, 1994. |
| 13. | Kohonen T., The Self-organization and Associate Memory, Springer-Verlag, 1985. |
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Efficient Iris Recognition through Improvement of Feature Vector and Classifier
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Shinyoung Lim, Kwanyong Lee, Okhwan Byeon, and Taiyun Kim
ETRI Journal, vol.23, no.2, June 2001, pp.61-70
http://dx.doi.org/10.4218/etrij.01.0101.0203
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