arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0705.3740cs.CR

Optimal Iris Fuzzy Sketches

J. Bringer, H. Chabanne, G. Cohen, B. Kindarji, G. Zémor

备注：
9 pages. Submitted to the IEEE Conference on Biometrics: Theory, Applications and Systems, 2007 Washington DC
发表信息：
Biometrics: Theory, Applications, and Systems, 2007. BTAS 2007. First IEEE International Conference on
阅读 PDF
arXiv 页面 ↗HTML 原文 ↗

英文摘要：

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.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

↑