RIS ID
17834
Abstract
Crypto-biometric systems are recently emerging as an effective process of key management to address the security weakness of conventional key release systems using passcodes, tokens or pattern recognition based biometrics. This paper presents a lattice mapping based fuzzy commitment method for cryptographic key generation from biometric data. The proposed method not only outputs high entropy keys, but also conceals the original biometric data such that it is impossible to recover the biometric data even when the stored information in the system is open to an attacker. Simulated results have demonstrated that its authentication accuracy is comparable to the well-known k-nearest neighbour classification.
Publication Details
This article was originally published as: Zheng, G, Li, W & Zhan, C, Cryptographic key generation from biometric data using lattice mapping, 18th International Conference on Pattern Recognition, 2006 (ICPR 2006), 20-24 August 2006, 4, 513-516. Copyright 2006 IEEE.