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 |
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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 | |
State | Published - 2007 |
Event | 2007 International Conference on Advances in Biometrics, ICB 2007 - Seoul, Korea, Republic of Duration: 27 Aug 2007 → 29 Aug 2007 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 4642 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 2007 International Conference on Advances in Biometrics, ICB 2007 |
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Country/Territory | Korea, Republic of |
City | Seoul |
Period | 27/08/07 → 29/08/07 |
Keywords
- Fuzzy vault scheme
- Independent Component Analysis (ICA)
- Pattern clustering