Optimal Iris Fuzzy Sketches

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dc.creatorBringer, J.
dc.creatorChabanne, H.
dc.creatorCohen, G.
dc.creatorKindarji, B.
dc.creatorZémor, G.
dc.date2007-05-25
dc.date.accessioned2026-07-07T09:29:31Z
dc.date.available2026-07-07T09:29:31Z
dc.descriptionFuzzy sketches, introduced as a link between biometry and cryptography, are a way of handling biometric data matching as an error correction issue. We focus here on iris biometrics and look for the best error-correcting code in that respect. We show that two-dimensional iterative min-sum decoding leads to results near the theoretical limits. In particular, we experiment our techniques on the Iris Challenge Evaluation (ICE) database and validate our findings.
dc.description9 pages. Submitted to the IEEE Conference on Biometrics: Theory, Applications and Systems, 2007 Washington DC
dc.identifierhttps://arxiv.org/abs/0705.3740
dc.identifierhttp://arxiv.org/abs/0705.3740
dc.identifierBiometrics: Theory, Applications, and Systems, 2007. BTAS 2007. First IEEE International Conference on
dc.identifierdoi:10.1109/BTAS.2007.4401904
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/157811
dc.subjectCryptography and Security
dc.subjectE.3; E.4
dc.titleOptimal Iris Fuzzy Sketches
dc.typetext

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