用户生物特征图像或模板的安全性问题是生物识别系统自身安全性的重要部分.本文介绍了一种基于Hash的生物识别系统用户信息保护方案,从单向函数的角度研究了保护用户信息的方法.通过引入一个自适应的非均匀量化过程,解决了生物信息模糊性和Hash函数敏感性之间的矛盾,从而达到了利用Hash函数保护用户信息的目的,避免了在数据库中直接存储用户生物特征图像或模板带来的安全问题.通过对量化模板和Hash雨数的安全性的分析,证明了本方案的安全性,仿真实验显示了该方案的可行性.
The issue of the protection of users' biometric templates is an important part of the biometric system's security. A hash-based scheme for the protection of users' information is investigated from the point of view of one-way function. By involving an adaptive non-uniform quantizing template,the contradiction between the fuzziness of the biometric information and the sensitivity of the hash function has been solved. Then a protecting scheme based on hash function is implemented which avoids the storage of users' biometric images or templates direct. The analysis of the quantizing template and the hash function demonstrates the security of the scheme,and the simulation shows the feasibility of the scheme.