Biometric key binding: Fuzzy vault based on iris images

Youn Joo Lee; Kwanghyuk Bae; Sung Joo Lee; Kang Ryoung Park; Jaihie Kim

doi:10.1007/978-3-540-74549-5_84

Biometric key binding: Fuzzy vault based on iris images

Youn Joo Lee, Kwanghyuk Bae, Sung Joo Lee, Kang Ryoung Park, Jaihie Kim

Department of Electrical and Electronic Engineering

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

97 Citations (Scopus)

Abstract

Recently, crypto-biometric systems have been studied for solving the key management problem of cryptographic systems and protecting templates in biometric systems at the same time. The fuzzy vault system is a well-known crypto-biometric system. We propose a new method of applying iris data to the fuzzy vault. Our research has following two advantages and contributions. First, in order to solve the variation problem of the extracted iris features, we introduce a pattern clustering method. Second, in order to produce unordered sets for fuzzy vault, we use the iris feature extraction algorithm based on ICA (Independent Component Analysis). Experimental results showed that 128-bit cryptographic keys as well as the iris templates were secure with the fuzzy vault scheme.

Original language	English
Title of host publication	Advances in Biometrics - International Conference, ICB 2007, Proceedings
Publisher	Springer Verlag
Pages	800-808
Number of pages	9
ISBN (Print)	9783540745488
DOIs	https://doi.org/10.1007/978-3-540-74549-5_84
Publication status	Published - 2007
Event	2007 International Conference on Advances in Biometrics, ICB 2007 - Seoul, Korea, Republic of Duration: 2007 Aug 27 → 2007 Aug 29

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4642 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	2007 International Conference on Advances in Biometrics, ICB 2007
Country/Territory	Korea, Republic of
City	Seoul
Period	07/8/27 → 07/8/29

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-74549-5_84

Cite this

Lee, Y. J., Bae, K., Lee, S. J., Park, K. R., & Kim, J. (2007). Biometric key binding: Fuzzy vault based on iris images. In Advances in Biometrics - International Conference, ICB 2007, Proceedings (pp. 800-808). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4642 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-74549-5_84

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abstract = "Recently, crypto-biometric systems have been studied for solving the key management problem of cryptographic systems and protecting templates in biometric systems at the same time. The fuzzy vault system is a well-known crypto-biometric system. We propose a new method of applying iris data to the fuzzy vault. Our research has following two advantages and contributions. First, in order to solve the variation problem of the extracted iris features, we introduce a pattern clustering method. Second, in order to produce unordered sets for fuzzy vault, we use the iris feature extraction algorithm based on ICA (Independent Component Analysis). Experimental results showed that 128-bit cryptographic keys as well as the iris templates were secure with the fuzzy vault scheme.",

author = "Lee, {Youn Joo} and Kwanghyuk Bae and Lee, {Sung Joo} and Park, {Kang Ryoung} and Jaihie Kim",

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address = "Germany",

note = "2007 International Conference on Advances in Biometrics, ICB 2007 ; Conference date: 27-08-2007 Through 29-08-2007",

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Lee, YJ, Bae, K, Lee, SJ, Park, KR & Kim, J 2007, Biometric key binding: Fuzzy vault based on iris images. in Advances in Biometrics - International Conference, ICB 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4642 LNCS, Springer Verlag, pp. 800-808, 2007 International Conference on Advances in Biometrics, ICB 2007, Seoul, Korea, Republic of, 07/8/27. https://doi.org/10.1007/978-3-540-74549-5_84

Biometric key binding: Fuzzy vault based on iris images. / Lee, Youn Joo; Bae, Kwanghyuk; Lee, Sung Joo et al.
Advances in Biometrics - International Conference, ICB 2007, Proceedings. Springer Verlag, 2007. p. 800-808 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4642 LNCS).

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

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AB - Recently, crypto-biometric systems have been studied for solving the key management problem of cryptographic systems and protecting templates in biometric systems at the same time. The fuzzy vault system is a well-known crypto-biometric system. We propose a new method of applying iris data to the fuzzy vault. Our research has following two advantages and contributions. First, in order to solve the variation problem of the extracted iris features, we introduce a pattern clustering method. Second, in order to produce unordered sets for fuzzy vault, we use the iris feature extraction algorithm based on ICA (Independent Component Analysis). Experimental results showed that 128-bit cryptographic keys as well as the iris templates were secure with the fuzzy vault scheme.

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Lee YJ, Bae K, Lee SJ, Park KR, Kim J. Biometric key binding: Fuzzy vault based on iris images. In Advances in Biometrics - International Conference, ICB 2007, Proceedings. Springer Verlag. 2007. p. 800-808. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-74549-5_84

Biometric key binding: Fuzzy vault based on iris images

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