A novel iris center localization based on circle fitting using radially sampled features

Sung Tae Kim; Kang A. Choi; Yong Goo Shin; Sung-Jea Ko

doi:10.1109/ISCE.2015.7177823

A novel iris center localization based on circle fitting using radially sampled features

Sung Tae Kim, Kang A. Choi, Yong Goo Shin, Sung-Jea Ko

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

In this paper, we propose a novel iris center (IC) localization method. Given an eye region image, we first find an initial iris center and perform iterative circle fitting until the center of the circle converges on the final IC. In each iteration step, a certain number of feature points (FPs) are extracted from radial sectors defined around the IC, and then grouped into several clusters for circle fitting. Through the iteration, the circle center converges on the final IC. Experimental results on the public dataset GI4E show that the proposed method achieves the superior performance as compared with conventional ones.

Original language	English
Title of host publication	Proceedings of the International Symposium on Consumer Electronics, ISCE
Publisher	Institute of Electrical and Electronics Engineers Inc.
Volume	2015-August
ISBN (Print)	9781467373654
DOIs	https://doi.org/10.1109/ISCE.2015.7177823
Publication status	Published - 2015 Aug 4
Event	IEEE International Symposium on Consumer Electronics, ISCE 2015 - Madrid, Spain Duration: 2015 Jun 24 → 2015 Jun 26

Other

Other	IEEE International Symposium on Consumer Electronics, ISCE 2015
Country/Territory	Spain
City	Madrid
Period	15/6/24 → 15/6/26

Keywords

circle fitting
Iris center localization
point sampling

ASJC Scopus subject areas

Engineering(all)

Access to Document

10.1109/ISCE.2015.7177823

Cite this

A novel iris center localization based on circle fitting using radially sampled features. / Kim, Sung Tae; Choi, Kang A.; Shin, Yong Goo et al.
Proceedings of the International Symposium on Consumer Electronics, ISCE. Vol. 2015-August Institute of Electrical and Electronics Engineers Inc., 2015. 7177823.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, ST, Choi, KA, Shin, YG & Ko, S-J 2015, A novel iris center localization based on circle fitting using radially sampled features. in Proceedings of the International Symposium on Consumer Electronics, ISCE. vol. 2015-August, 7177823, Institute of Electrical and Electronics Engineers Inc., IEEE International Symposium on Consumer Electronics, ISCE 2015, Madrid, Spain, 15/6/24. https://doi.org/10.1109/ISCE.2015.7177823

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title = "A novel iris center localization based on circle fitting using radially sampled features",

abstract = "In this paper, we propose a novel iris center (IC) localization method. Given an eye region image, we first find an initial iris center and perform iterative circle fitting until the center of the circle converges on the final IC. In each iteration step, a certain number of feature points (FPs) are extracted from radial sectors defined around the IC, and then grouped into several clusters for circle fitting. Through the iteration, the circle center converges on the final IC. Experimental results on the public dataset GI4E show that the proposed method achieves the superior performance as compared with conventional ones.",

keywords = "circle fitting, Iris center localization, point sampling",

author = "Kim, {Sung Tae} and Choi, {Kang A.} and Shin, {Yong Goo} and Sung-Jea Ko",

year = "2015",

month = aug,

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doi = "10.1109/ISCE.2015.7177823",

language = "English",

isbn = "9781467373654",

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booktitle = "Proceedings of the International Symposium on Consumer Electronics, ISCE",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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T1 - A novel iris center localization based on circle fitting using radially sampled features

AU - Kim, Sung Tae

AU - Choi, Kang A.

AU - Shin, Yong Goo

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Y1 - 2015/8/4

N2 - In this paper, we propose a novel iris center (IC) localization method. Given an eye region image, we first find an initial iris center and perform iterative circle fitting until the center of the circle converges on the final IC. In each iteration step, a certain number of feature points (FPs) are extracted from radial sectors defined around the IC, and then grouped into several clusters for circle fitting. Through the iteration, the circle center converges on the final IC. Experimental results on the public dataset GI4E show that the proposed method achieves the superior performance as compared with conventional ones.

AB - In this paper, we propose a novel iris center (IC) localization method. Given an eye region image, we first find an initial iris center and perform iterative circle fitting until the center of the circle converges on the final IC. In each iteration step, a certain number of feature points (FPs) are extracted from radial sectors defined around the IC, and then grouped into several clusters for circle fitting. Through the iteration, the circle center converges on the final IC. Experimental results on the public dataset GI4E show that the proposed method achieves the superior performance as compared with conventional ones.

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KW - Iris center localization

KW - point sampling

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BT - Proceedings of the International Symposium on Consumer Electronics, ISCE

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Y2 - 24 June 2015 through 26 June 2015

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A novel iris center localization based on circle fitting using radially sampled features

Abstract

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Keywords

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