A New Feature Extraction for Iris Identification Using Scale-Space Filtering Technique(Image)
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概要
- 論文の詳細を見る
In this paper, we introduce a new technology to extract the unique features from an iris image, which uses scale-space filtering. Resulting iris code can be used to develop a system for rapid and automatic human identification with high reliability and confidence levels. First, an iris part is separated from the whole image and the radius and center of the iris are evaluated. Next, the regions that have a high possibility of being noise are discriminated and the features presented in the highly detailed pattern are then extracted. In order to conserve the original signal while minimizing the effect of noise, scale-space filtering is applied. Experiments are performed using a set of 272 iris images taken from 18 persons. Test results show that the iris feature patterns of different persons are clearly discriminated from those of the same person.
- 社団法人電子情報通信学会の論文
- 2004-12-01
著者
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Kim Dongmin
Department Of Electrical Engineering Hongik University
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Kim Young-ju
Department Of Computer Engineering Silla University
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Kim Young-ju
Department Of Electrical Engineering Hongik University
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Yang Woo
Department Of Electrical Engineering Hongik University
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HONG Jinil
Department of Electrical Engineering, Hongik University
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Hong Jinil
Department Of Electrical Engineering Hongik University
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