Scheer Tobias, Rohde Markus, Breithaupt Ralph, Jung Norbert, Lange Robert
Institute of Safety and Security Research, University of Applied Sciences Bonn-Rhein-Sieg, Grantham-Allee 20, 53757 Sankt Augustin, Germany.
Federal Office for Information Security, Godesberger Allee 185-189, 53175 Bonn, Germany.
Sensors (Basel). 2024 Apr 9;24(8):2389. doi: 10.3390/s24082389.
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.
由于其用户友好性和可靠性，生物识别系统在各类具有不断提高的安全要求的私人、金融和政府应用的日常数字身份管理中发挥着核心作用。无监督生物识别认证系统的一个核心安全方面是呈现攻击检测（PAD）机制，该机制定义了对伪造或改变的生物特征的鲁棒性。照片、人造手指、面罩和假虹膜隐形眼镜等人工制品对所有生物识别模态来说都是普遍的安全威胁。波恩-莱茵-西格应用科学大学安全与安保研究所的生物识别评估中心专门致力于开发一种基于近红外（NIR）的非接触式检测技术，该技术能够区分人类皮肤和大多数人工制品材料。这项技术具有高度的适应性，并且已经成功集成到指纹扫描仪、人脸识别设备和手部静脉扫描仪中。在这项工作中，我们介绍一种前沿的、小型化的近红外呈现攻击检测（NIR-PAD）设备。它包括一个创新的信号处理链和一个集成的距离测量功能，以提高可靠性和弹性。我们详细介绍了该设备的模块化配置和概念决策，突出了其作为传感器融合的通用平台以及无缝集成到未来生物识别系统中的适用性。本文阐明了NIR-PAD参考平台的技术基础和概念框架，同时探讨了其潜在应用和未来改进方向。
