论文标题
关于指纹呈现攻击检测方法在短波红外域中的概括能力
On the Generalisation Capabilities of Fingerprint Presentation Attack Detection Methods in the Short Wave Infrared Domain
论文作者
论文摘要
如今，基于指纹的生物识别识别系统变得越来越流行。但是，尽管它们具有许多优势，但生物识别捕获装置通常会暴露于公众，因此很容易受到演示攻击（PAS）的影响。因此，为了区分真正的攻击和攻击表现，表现攻击检测（PAD）方法至关重要。由于创建新的演示攻击工具（PAIS）几乎无限的可能性，未知的攻击是对现有PAD算法的威胁。这一事实激发了人们对概括能力的研究，以找到对新攻击弹性的PAD方法。在这种情况下，我们评估了19,711善意和4,339个PA样品的数据集上多个PAD算法的普遍性，包括45种不同的PAI物种。 PAD数据是在短波红外域中捕获的，结果讨论了此PAD技术在未知攻击方面的优势和缺点。
Nowadays, fingerprint-based biometric recognition systems are becoming increasingly popular. However, in spite of their numerous advantages, biometric capture devices are usually exposed to the public and thus vulnerable to presentation attacks (PAs). Therefore, presentation attack detection (PAD) methods are of utmost importance in order to distinguish between bona fide and attack presentations. Due to the nearly unlimited possibilities to create new presentation attack instruments (PAIs), unknown attacks are a threat to existing PAD algorithms. This fact motivates research on generalisation capabilities in order to find PAD methods that are resilient to new attacks. In this context, we evaluate the generalisability of multiple PAD algorithms on a dataset of 19,711 bona fide and 4,339 PA samples, including 45 different PAI species. The PAD data is captured in the short wave infrared domain and the results discuss the advantages and drawbacks of this PAD technique regarding unknown attacks.
