Detection of 3D face masks with thermal infrared imaging and deep learning techniques

Authors

  • Marcin Kowalski Institute of Optoelectronics, Military University of Technology http://orcid.org/0000-0002-1361-9828
  • Krzysztof Mierzejewski Faculty of Cybernetics, Military University of Technology

DOI:

https://doi.org/10.4302/plp.v13i2.1091

Abstract

Biometric systems are becoming more and more efficient due to increasing performance of algorithms. These systems are also vulnerable to various attacks. Presentation of falsified identity to a biometric sensor is one the most urgent challenges for the recent biometric recognition systems. Exploration of specific properties of thermal infrared seems to be a comprehensive solution for detecting face presentation attacks. This letter presents outcome of our study on detecting 3D face masks using thermal infrared imaging and deep learning techniques. We demonstrate results of a two-step neural network-featured method for detecting presentation attacks.

Full Text: PDF

References
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Published

2021-06-30

How to Cite

[1]
M. Kowalski and K. Mierzejewski, “Detection of 3D face masks with thermal infrared imaging and deep learning techniques”, Photonics Lett. Pol., vol. 13, no. 2, pp. 22–24, Jun. 2021.

Issue

Vol. 13 No. 2 (2021)

Section

Articles

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