Abstract
Helper data systems mitigate the risk that biometric templates are stolen from
a biometric data base. Yet, current systems face the drawback that strong Error
Correction is needed in order to mitigate variations in the measured biometric
during verification. Error correction codes are not always attractive, as these may
severely reduce the effective entropy extracted from the biometric. We study an
alternative, namely to check the (set of) most likely errors, based on a posterior
side information, using soft decision during verification.
a biometric data base. Yet, current systems face the drawback that strong Error
Correction is needed in order to mitigate variations in the measured biometric
during verification. Error correction codes are not always attractive, as these may
severely reduce the effective entropy extracted from the biometric. We study an
alternative, namely to check the (set of) most likely errors, based on a posterior
side information, using soft decision during verification.
Original language | English |
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Title of host publication | Proceedings of the 35th WIC Symposium on Information Theory in the Benelux and the 4th joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux, Eindhoven, the Netherlands May 12-13, 2014 |
Editors | B. Skoric, T. Ignatenko |
Place of Publication | Eindhoven |
Publisher | Technische Universiteit Eindhoven |
Pages | 140-146 |
Number of pages | 6 |
ISBN (Print) | 978-90-386-3646-7 |
Publication status | Published - 13 May 2014 |
Event | 4th Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux - Eindhoven, Netherlands Duration: 12 May 2014 → 13 May 2014 |
Conference
Conference | 4th Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux |
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Country/Territory | Netherlands |
City | Eindhoven |
Period | 12/05/14 → 13/05/14 |
Other | 4th Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux |
Keywords
- biometrics
- helper data
- error correction