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Abstract：
Due to their user-friendliness and reliability, biometric systems have taken a central role in everyday digital identity management for all kinds of private, financial and governmental applications with increasing security requirements. A central security aspect of unsupervised biometric authentication systems is the presentation attack detection (PAD) mechanism, which defines the robustness to fake or altered biometric features. Artifacts like photos, artificial fingers, face masks and fake iris contact lenses are a general security threat for all biometric modalities. The Biometric Evaluation Center of the Institute of Safety and Security Research (ISF) at the University of Applied Sciences Bonn-Rhein-Sieg has specialized in the development of a near-infrared (NIR)-based contact-less detection technology that can distinguish between human skin and most artifact materials. This technology is highly adaptable and has already been successfully integrated into fingerprint scanners, face recognition devices and hand vein scanners. In this work, we introduce a cutting-edge, miniaturized near-infrared presentation attack detection (NIR-PAD) device. It includes an innovative signal processing chain and an integrated distance measurement feature to boost both reliability and resilience. We detail the device\'s modular configuration and conceptual decisions, highlighting its suitability as a versatile platform for sensor fusion and seamless integration into future biometric systems. This paper elucidates the technological foundations and conceptual framework of the NIR-PAD reference platform, alongside an exploration of its potential applications and prospective enhancements.
摘要：
由于其用户友好性和可靠性，生物识别系统在各种私人的日常数字身份管理中发挥了核心作用，金融和政府应用程序的安全性要求不断提高。无监督生物特征认证系统的一个核心安全方面是呈现攻击检测(PAD)机制，它定义了伪造或改变的生物特征的鲁棒性。像照片这样的文物，人造手指,口罩和假虹膜隐形眼镜是所有生物识别方式的普遍安全威胁。应用科学大学Bonn-Rhein-Sieg的安全与安全研究所（ISF）的生物识别评估中心专门从事基于近红外（NIR）的非接触式检测技术的开发，该技术可以区分人类皮肤和大多数伪影材料。这项技术具有很强的适应性，已经成功地集成到指纹扫描仪中，面部识别设备和手静脉扫描仪。在这项工作中,我们介绍一个尖端的，小型化近红外演示攻击检测(NIR-PAD)设备。它包括创新的信号处理链和集成的距离测量功能，以提高可靠性和弹性。我们详细介绍了设备的模块化配置和概念决策，强调其作为传感器融合和无缝集成到未来生物识别系统的通用平台的适用性。本文阐述了NIR-PAD参考平台的技术基础和概念框架，以及对其潜在应用和预期增强的探索。
