Storage of biometric data requires some form of template protection in order to preserve the privacy of people enrolled in a biometric database. One approach is to use a Helper Data System. Here it is necessary to transform the raw biometric measurement into a fixed-length representation. In this paper, we extend the spectral function approach of Stanko and Škorić (IEEE Workshop on Information Forensics and Security (WIFS), 2017) which provides such a fixed-length representation for fingerprints. First, we introduce a new spectral function that captures different information from the minutia orientations. It is complementary to the original spectral function, and we use both of them to extract information from a fingerprint image. Second, we construct a helper data system consisting of zero-leakage quantisation followed by the Code Offset Method. We show empirical data on matching performance and entropy content. On the negative side, transforming a list of minutiae to the spectral representation degrades the matching performance significantly. On the positive side, adding privacy protection to the spectral representation can be done with little loss of performance.

中文翻译：

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使用细节对图谱表示的指纹模板保护

生物特征数据的存储需要某种形式的模板保护，以保护生物特征数据库中注册人员的隐私。一种方法是使用助手数据系统。在此有必要将原始生物特征测量结果转换为固定长度的表示形式。在本文中，我们扩展了Stanko和Škorić（IEEE信息取证与安全研讨会（WIFS），2017）的频谱函数方法，该方法为指纹提供了固定长度的表示形式。首先，我们引入了一个新的光谱函数，该函数可以捕获来自细节取向的不同信息。它是对原始光谱函数的补充，我们将它们都用于从指纹图像中提取信息。其次，我们构建了一个辅助数据系统，该系统由零泄漏量化和代码偏移量方法组成。我们显示了匹配性能和熵含量的经验数据。不利的一面是，将细节列表转换为频谱表示会大大降低匹配性能。从积极的一面来看，可以在不影响性能的情况下为频谱表示添加隐私保护。