Optimal Iris Fuzzy Sketches
Cryptography and Security
2008-04-02 v1
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.
Keywords
Cite
@article{arxiv.0705.3740,
title = {Optimal Iris Fuzzy Sketches},
author = {J. Bringer and H. Chabanne and G. Cohen and B. Kindarji and G. Zémor},
journal= {arXiv preprint arXiv:0705.3740},
year = {2008}
}