Optimal iris fuzzy sketches
Julien Bringer, Hervé Chabanne, Graeme L. Cohen, Bruno Kindarji, Gilles Zémor · 2007
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 minsum 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.