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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

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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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%D 2007
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%DOI 10.1631/jzus.2007.A1227

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T1 - Iris recognition: a biometric method after refractive surgery
A1 - YUAN Xiao-yan
A1 - ZHOU Hao
A1 - SHI Peng-fei
J0 - Journal of Zhejiang University Science A
VL - 8
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PB - Zhejiang University Press & Springer
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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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[2] Daugman, J., 2003. The importance of being random: statistical principles of iris recognition. Patt. Recog., 36(2):279-291.

[3] Ma, L., Tan, T., Wang, Y., Zhang, D., 2004. Efficient iris recognition by characterizing key local variations. IEEE Trans. on Image Processing, 13(6):739-750.

[4] Mansfield, T., Kelly, G., Chandler, D., Kane, J., 2001. Biometric Product Testing Final Report. Center for Mathematics and Scientific Computing, National Physics Laboratory, Middlesex, England.

[5] Mansfield, A., Wayman, J., 2002. Best Practices in Testing and Reporting Biometric Device Performance. V.2.0. UK Biometrics Working Group.

[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.

[9] Wayman, J., 1999. Technical Testing and Evaluation of Biometric Identification Devices. Personal Identification in a Networked Society. Kluwer Academic Publishers, Dordrecht.

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

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