基于微小指纹模板保护的参数化几何对齐

Bian Yang, C. Busch
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引用次数: 46

摘要

本文提出了一种参数化几何对齐方法,利用随机生成的参数将原始的特征区域转化为几何对齐并保护的特征区域,用于基于特征的指纹模板保护。模板多样化可以通过设置不同的参数来实现。两个受保护模板的比较结果由两个模板的受保护细节距离的比较结果总结而成。在公共数据库FVC2002DB2_A上的实验结果表明,该算法具有良好的生物识别性能(平均误差率为0.0404)。本文还对该方法进行了性能和安全性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parameterized geometric alignment for minutiae-based fingerprint template protection
In this paper a parameterized geometric alignment method is proposed for minutiae-based fingerprint template protection by transforming an original minutia vicinity into a geometrically-aligned and protected minutia vicinity by randomly generated parameters. Template diversification can be achieved by setting different parameters for different minutiae vicinities. Comparison result of two protected templates is summarized from comparison results of protected minutiae vicinities from both templates. Experimental results on the public FVC2002DB2_A database show satisfactory biometric performance (with average Equal Error Rate 0.0404) of the proposed algorithm. Performance and security analysis are also given for the proposed approach.
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