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Open AccessArticle

A Study on Presentation Attack Detection in Thermal Infrared

Institute of Optoelectronics, Military University of Technology, 2 Gen. S. Kaliskiego St., 00-908 Warsaw, Poland
Sensors 2020, 20(14), 3988; https://doi.org/10.3390/s20143988
Received: 6 June 2020 / Revised: 10 July 2020 / Accepted: 16 July 2020 / Published: 17 July 2020
(This article belongs to the Special Issue Biometric Sensing)
Face recognition systems face real challenges from various presentation attacks. New, more sophisticated methods of presentation attacks are becoming more difficult to detect using traditional face recognition systems. Thermal infrared imaging offers specific physical properties that may boost presentation attack detection capabilities. The aim of this paper is to present outcomes of investigations on the detection of various face presentation attacks in thermal infrared in various conditions including thermal heating of masks and various states of subjects. A thorough analysis of presentation attacks using printed and displayed facial photographs, 3D-printed, custom flexible 3D-latex and silicone masks is provided. The paper presents the intensity analysis of thermal energy distribution for specific facial landmarks during long-lasting experiments. Thermalization impact, as well as varying the subject’s state due to physical effort on presentation attack detection are investigated. A new thermal face spoofing dataset is introduced. Finally, a two-step deep learning-based method for the detection of presentation attacks is presented. Validation results of a set of deep learning methods across various presentation attack instruments are presented. View Full-Text
Keywords: thermal face spoofing detection; presentation attack detection; thermal infrared; facial counter spoofing thermal face spoofing detection; presentation attack detection; thermal infrared; facial counter spoofing
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Kowalski, M. A Study on Presentation Attack Detection in Thermal Infrared. Sensors 2020, 20, 3988.

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