Balancing Accuracy and Error Rates in Fingerprint Verification Systems Under Presentation Attacks With Sequential Fusion

Marco Micheletto;Gian Luca Marcialis
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引用次数: 0

Abstract

The assessment of the fingerprint PADs embedded into a comparison system represents an emerging topic in biometric recognition. Providing models and methods for this aim helps scientists, technologists, and companies to simulate multiple scenarios and have a realistic view of the process’s consequences on the recognition system. The most recent models aimed at deriving the overall system performance, especially in the sequential assessment of the fingerprint liveness and comparison pointed out a significant decrease in Genuine Acceptance Rate (GAR). In particular, our previous studies showed that PAD contributes predominantly to this drop, regardless of the comparison system used. This paper’s goal is to establish a systematic approach for the “trade-off” computation between the gain in Impostor Attack Presentation Accept Rate (IAPAR) and the loss in GAR mentioned above. We propose a formal “trade-off” definition to measure the balance between tackling presentation attacks and the performance drop on genuine users. Experimental simulations and theoretical expectations confirm that an appropriate “trade-off” definition allows a complete view of the sequential embedding potentials.
利用序列融合技术平衡呈现攻击下指纹验证系统的准确率和错误率
对嵌入比对系统的指纹 PAD 进行评估是生物识别领域的一个新兴课题。为此提供的模型和方法有助于科学家、技术人员和公司模拟多种情况,并真实地了解这一过程对识别系统的影响。最新的模型旨在推导系统的整体性能,尤其是在指纹有效性和比较的顺序评估中,这些模型指出了真实接受率(GAR)的显著下降。特别是,我们之前的研究表明,无论使用哪种比对系统,PAD 都是导致这一下降的主要原因。本文的目标是在冒名顶替者攻击演示接受率(IAPAR)的增加和上述 GAR 的损失之间建立一种系统的 "权衡 "计算方法。我们提出了一个正式的 "权衡 "定义,用于衡量应对演示攻击与真实用户性能下降之间的平衡。实验模拟和理论预期证实,适当的 "权衡 "定义可以全面了解顺序嵌入的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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