Abstract

Cryptography and biometry are important components of contemporary access control systems. Cryptographic systems themselves are highly reliable but they require the exact reproduction of access keys; this cannot be done by humans, while the corresponding devices might be lost or stolen. Biometric data are always with the person; however, they vary: it is impossible to obtain the same feature values. In this paper, a way is proposed to link the cryptographic key and the biometric features of the iris. This yields a two-component key such that no original component can be extracted until the biometric features close to the original ones, i.e., the data of the same person, are presented. The connecting method (coder) and the extracting method (decoder) consist of several separate steps executed successively. To select the parameters, we solve the following discrete optimization problem: under the given threshold of the false accept rate, we minimize the value of the false reject rate. The restrictions of this optimization problem are the minimal size of the coded key and the maximal size of the final key. Numerical experiments are conducted on open-access databases (DBs).

中文翻译：

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将加密密钥绑定到生物识别数据中：优化

摘要

密码学和生物统计学是现代访问控制系统的重要组成部分。密码系统本身是高度可靠的，但是它们需要访问密钥的精确再现。这是人类无法做到的，而相应的设备可能会丢失或被盗。生物识别数据始终与人有关。但是，它们各不相同：无法获得相同的特征值。本文提出了一种将密码密钥与虹膜的生物特征联系起来的方法。这产生了两个组成部分的密钥，使得只有在呈现出接近原始特征的生物特征（即同一个人的数据）之前，才可以提取原始组成部分。连接方法（编码器）和提取方法（解码器）由依次执行的几个独立步骤组成。要选择参数，我们解决了以下离散优化问题：在给定的错误接受率阈值下，我们将错误拒绝率的值最小化。此优化问题的限制是编码密钥的最小大小和最终密钥的最大大小。在开放访问数据库（DB）上进行了数值实验。