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Customizable Presentation Attack Detection for Improved Resilience of Biometric Applications Using Near-Infrared Skin Detection.
Scheer, Tobias; Rohde, Markus; Breithaupt, Ralph; Jung, Norbert; Lange, Robert.
Affiliation
  • Scheer T; Institute of Safety and Security Research, University of Applied Sciences Bonn-Rhein-Sieg, Grantham-Allee 20, 53757 Sankt Augustin, Germany.
  • Rohde M; Institute of Safety and Security Research, University of Applied Sciences Bonn-Rhein-Sieg, Grantham-Allee 20, 53757 Sankt Augustin, Germany.
  • Breithaupt R; Federal Office for Information Security, Godesberger Allee 185-189, 53175 Bonn, Germany.
  • Jung N; Institute of Safety and Security Research, University of Applied Sciences Bonn-Rhein-Sieg, Grantham-Allee 20, 53757 Sankt Augustin, Germany.
  • Lange R; Institute of Safety and Security Research, University of Applied Sciences Bonn-Rhein-Sieg, Grantham-Allee 20, 53757 Sankt Augustin, Germany.
Sensors (Basel) ; 24(8)2024 Apr 09.
Article in En | MEDLINE | ID: mdl-38676006
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biometric Identification Limits: Humans Language: En Journal: Sensors (Basel) Year: 2024 Type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biometric Identification Limits: Humans Language: En Journal: Sensors (Basel) Year: 2024 Type: Article Affiliation country: Germany