Error checking and near matching in helper data systems for biometric authentication

Charikleia Papatsimpa, Jean-Paul Linnartz, Joep de Groot

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

3 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationProceedings 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
EditorsB. Skoric, T. Ignatenko
Place of PublicationEindhoven
PublisherTechnische Universiteit Eindhoven
Pages140-146
Number of pages6
ISBN (Print)978-90-386-3646-7
Publication statusPublished - 13 May 2014
Event4th Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux - Eindhoven, Netherlands
Duration: 12 May 201413 May 2014

Conference

Conference4th Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux
Country/TerritoryNetherlands
CityEindhoven
Period12/05/1413/05/14
Other4th Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux

Keywords

  • biometrics
  • helper data
  • error correction

Fingerprint

Dive into the research topics of 'Error checking and near matching in helper data systems for biometric authentication'. Together they form a unique fingerprint.

Cite this