Optimal Iris Fuzzy Sketches

Julien Bringer; Hervé Chabanne; Gérard Cohen; Bruno Kindarji; G. Zémor

hal-00270547, version 1

Optimal Iris Fuzzy Sketches

Julien Bringer ¹, Hervé Chabanne ¹, Gérard Cohen ², Bruno Kindarji ^1, 2, G. Zémor ³

Biometrics: Theory, Applications, and Systems, 2007. BTAS 2007. First IEEE International Conference on (2007) 1--6

Abstract: Fuzzy 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.

1: SAGEM Défense Sécurité
SAGEM
2: Ecole Nationale Supérieure des Télécommmunications [Paris] (ENST Paris)
ENST Paris
3: Institut de Mathématiques de Bordeaux (IMB)
CNRS : UMR5251 – Université Sciences et Technologies - Bordeaux I – Université Victor Segalen - Bordeaux II

hal-00270547, version 1
http://hal.archives-ouvertes.fr/hal-00270547
oai:hal.archives-ouvertes.fr:hal-00270547
From: Gilles Zémor <>
Submitted on: Saturday, 5 April 2008 15:24:00
Updated on: Saturday, 5 April 2008 15:24:00

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arXiv: 0705.3740

DOI: 10.1109/BTAS.2007.4401904

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