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Communication Dans Un Congrès Année : 2007

Optimal Iris Fuzzy Sketches

Résumé

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.

Dates et versions

hal-00270547 , version 1 (05-04-2008)

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Citer

Julien Bringer, Hervé Chabanne, Gérard Cohen, Bruno Kindarji, Gilles Zémor. Optimal Iris Fuzzy Sketches. Biometrics: Theory, Applications, and Systems, 2007. BTAS 2007. First IEEE International Conference on, Sep 2007, Washington DC, United States. pp.1--6, ⟨10.1109/BTAS.2007.4401904⟩. ⟨hal-00270547⟩

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