IEICE TRANSACTIONS on Fundamentals
A New Feature Extraction for Iris Identification Using Scale-Space Filtering Technique
Summary :
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.
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- IEICE TRANSACTIONS on Fundamentals Vol.E87-A No.12 pp.3404-3408
- Publication Date
- 2004/12/01
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- PAPER
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- Image
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Jinil HONG, Woo Suk YANG, Dongmin KIM, Young-Ju KIM, "A New Feature Extraction for Iris Identification Using Scale-Space Filtering Technique" in IEICE TRANSACTIONS on Fundamentals,
vol. E87-A, no. 12, pp. 3404-3408, December 2004, doi: .
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e87-a_12_3404/_p
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@ARTICLE{e87-a_12_3404,
author={Jinil HONG, Woo Suk YANG, Dongmin KIM, Young-Ju KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A New Feature Extraction for Iris Identification Using Scale-Space Filtering Technique},
year={2004},
volume={E87-A},
number={12},
pages={3404-3408},
abstract={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.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - A New Feature Extraction for Iris Identification Using Scale-Space Filtering Technique
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3404
EP - 3408
AU - Jinil HONG
AU - Woo Suk YANG
AU - Dongmin KIM
AU - Young-Ju KIM
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E87-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2004
AB - 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.
ER -
English
