006 Spezielle Computerverfahren
Refine
H-BRS Bibliography
- yes (5) (remove)
Departments, institutes and facilities
- Fachbereich Ingenieurwissenschaften und Kommunikation (5) (remove)
Document Type
- Article (2)
- Conference Object (2)
- Part of a Book (1)
Language
- English (5) (remove)
Keywords
- AR (1)
- Applications in Energy Transport (1)
- Automatic Differentiation (1)
- Complex Systems Modeling and Simulation (1)
- Computational fluid dynamics (1)
- Flow control (1)
- Lattice Boltzmann Method (1)
- Machine Learning (1)
- Non-linear systems (1)
- Pytorch (1)
- Skin detection (1)
- Spectroscopy (1)
- VR (1)
- analog/digital signal processing (1)
- biometrics (1)
- computer vision (1)
- interactive computer graphics (1)
- mixed reality (1)
- near infrared (1)
- neural networks (1)
- optical sensor (1)
- presentation attack detection (PAD) (1)
- sensor resilience (1)
Noncooperative Game Theory
(2016)
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.