Biometric key binding: Fuzzy vault based on iris images

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

68 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 languageEnglish
Title of host publicationAdvances in Biometrics - International Conference, ICB 2007, Proceedings
Pages800-808
Number of pages9
Publication statusPublished - 2007 Dec 1
Event2007 International Conference on Advances in Biometrics, ICB 2007 - Seoul, Korea, Republic of
Duration: 2007 Aug 272007 Aug 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4642 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2007 International Conference on Advances in Biometrics, ICB 2007
CountryKorea, Republic of
CitySeoul
Period07/8/2707/8/29

Fingerprint

Iris
Biometrics
Template
Independent component analysis
Fuzzy systems
Key Management
Unordered
Feature extraction
Independent Component Analysis
Clustering Methods
Fuzzy Systems
Feature Extraction
Experimental Results

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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).
Lee, Youn Joo ; Bae, Kwanghyuk ; Lee, Sung Joo ; Park, Kang Ryoung ; Kim, Jaihie. / Biometric key binding : Fuzzy vault based on iris images. Advances in Biometrics - International Conference, ICB 2007, Proceedings. 2007. pp. 800-808 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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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.",
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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, pp. 800-808, 2007 International Conference on Advances in Biometrics, ICB 2007, Seoul, Korea, Republic of, 07/8/27.

Biometric key binding : Fuzzy vault based on iris images. / Lee, Youn Joo; Bae, Kwanghyuk; Lee, Sung Joo; Park, Kang Ryoung; Kim, Jaihie.

Advances in Biometrics - International Conference, ICB 2007, Proceedings. 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 proceedingConference contribution

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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. 2007. p. 800-808. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).