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CLC number: TP391

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Received: 2006-10-16

Revision Accepted: 2007-03-14

Crosschecked: 0000-00-00

Cited: 8

Clicked: 4799

Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE A 2007 Vol.8 No.8 P.1227-1231

http://doi.org/10.1631/jzus.2007.A1227


Iris recognition: a biometric method after refractive surgery


Author(s):  YUAN Xiao-yan, ZHOU Hao, SHI Peng-fei

Affiliation(s):  Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240, China; more

Corresponding email(s):   yanr@sjtu.edu.cn

Key Words:  Biometric, Iris recognition, Refractive surgery, LASIK, Myopia


YUAN Xiao-yan, ZHOU Hao, SHI Peng-fei. Iris recognition: a biometric method after refractive surgery[J]. Journal of Zhejiang University Science A, 2007, 8(8): 1227-1231.

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author="YUAN Xiao-yan, ZHOU Hao, SHI Peng-fei",
journal="Journal of Zhejiang University Science A",
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pages="1227-1231",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2007.A1227"
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T1 - Iris recognition: a biometric method after refractive surgery
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DOI - 10.1631/jzus.2007.A1227


Abstract: 
iris recognition, as a biometric method, outperforms others because of its high accuracy. Iris is the visible internal organ of human, so it is stable and very difficult to be altered. But if an eye surgery must be made to some individuals, it may be rejected by iris recognition system as imposters after the surgery, because the iris pattern was altered or damaged somewhat during surgery and cannot match the iris template stored before the surgery. In this paper, we originally discuss whether refractive surgery for vision correction (LASIK surgery) would influence the performance of iris recognition. And experiments are designed and tested on iris images captured especially for this research from patients before and after refractive surgery. Experiments showed that refractive surgery has little influence on iris recognition.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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[6] Masek, L., 2003. Recognition of Human Iris Patterns for Biometric Identification. Master Thesis, The University of Western Australia.

[7] Roizenblatt, R., Schor, P., 2004. Iris recognition as a biometric method after cataract surgery. Biomed. Eng. Online, 3(2).

[8] Shi, P., Xing, L., Gong, Y., 2003. A Quality Evaluation Method of Iris Recognition System. Chinese Patent, No. 1474345.

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[10] Yuan, X., Shi, P., 2004. An iris segmentation procedure for iris recognition. LNCS, 3338:546-553.

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