在加密域中实现基于fingercode的身份匹配

T. Bianchi, Stefano Turchi, A. Piva, Ruggero Donida Labati, V. Piuri, F. Scotti
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引用次数: 21

摘要

在本文中,我们使用加密模板解决了基于fingercode的身份匹配问题。与传统的结合安全信号处理(SSP)工具来模拟某些知名身份匹配算法行为的方法不同,我们将研究使用SSP友好型生物识别实现的可能性,即基于SSP工具的实现。我们将提出两种替代策略来减少指纹码模板的大小,使其与现有的SSP解决方案兼容。实验结果表明,特征尺寸减小对生物识别系统精度的影响非常有限,表明可以在不牺牲生物识别性能的情况下实现加密域身份匹配。
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Implementing FingerCode-based identity matching in the encrypted domain
In this paper, we address the problem of FingerCode-based identity matching using encrypted templates. Instead of the classical approach of combining secure signal processing (SSP) tools to mimic the behavior of some well-known identity matching algorithm, we will investigate the possibility of using a SSP-friendly biometric implementation, i.e., an implementation based on SSP tools. We will propose two alternative strategies for reducing the size of the FingerCode templates, to make them compatible with existing SSP solutions. Experimental results show that feature size reduction has a very limited impact on the accuracy of the biometric system, demonstrating that encrypted domain identity matching can be implemented without sacrificing biometric performance.
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