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Biometric Protection Approach Based on Fingerprint Hierarchical Identification

机译:基于指纹分层识别的生物识别保护方法

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摘要

With the exponential increase in the dependence on biometric based fingerprint in everyday life, there is a growing concern related to privacy and security issues; therefore, security threats need to be analyzed in detail. Different fingerprint systems store personal information without any security. Hence, an attacker can easily have access to the identity of legitimate user. In order to secure these applications against different threats, several protection approaches have been proposed as alternative solution. In this paper, we propose a new approach for fingerprint template protection based on the fingerprint features transformation. In this context, we proposed a new indexation approach named 'Hierarchical Identification and Protection Approach Based on Delaunay Triangulation', based on the topological transformation of minutia points. First, we applied the Delaunay triangulation as a matching method. Then we introduced the barycenter notion, which applied on the similar extracted triangle. This hierarchical meaner of triangulation improve the performance and the security of fingerprint systems. Driven experimental results show the ability of the proposed approach to preserve the performance and the security of biometric authentication systems.
机译:随着对日常生活中基于生物识别的指纹的依赖性的指数增加,与隐私和安全问题有关的越来越多;因此,需要详细分析安全威胁。不同的指纹系统在没有任何安全性的情况下存储个人信息。因此,攻击者可以很容易地访问合法用户的身份。为了防止这些应用于不同的威胁,已经提出了几种保护方法作为替代解决方案。在本文中,我们提出了一种基于指纹特征转换的指纹模板保护方法。在这种情况下,我们提出了一种新的指数方法,名为“基于Delaunay三角测量的分层识别和保护方法”,基于MeNutia点的拓扑转换。首先,我们将Delaunay三角剖分应用为匹配方法。然后我们介绍了施加在类似提取的三角形上的重心概念。这一三角测量的分层拟合提高了指纹系统的性能和安全性。驱动的实验结果表明,所提出的方法保留性能和生物认证系统的安全性的能力。

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