GI LogoGI Logo
  • Login
Digital Library
    • All of DSpace

      • Communities & Collections
      • Titles
      • Authors
      • By Issue Date
      • Subjects
    • This Collection

      • Titles
      • Authors
      • By Issue Date
      • Subjects
Digital Library Gesellschaft für Informatik e.V.
GI-DL
    • English
    • Deutsch
  • English 
    • English
    • Deutsch
View Item 
  •   DSpace Home
  • Lecture Notes in Informatics
  • Proceedings
  • BIOSIG - Biometrics and Electronic Signatures
  • P306 - BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
  •   DSpace Home
  • Lecture Notes in Informatics
  • Proceedings
  • BIOSIG - Biometrics and Electronic Signatures
  • P306 - BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group
  • View Item

Face Presentation Attack Detection in Ultraviolet Spectrum via Local and Global Features

Author:
Siegmund, Dirk [DBLP] ;
Kerckhoff, Florian [DBLP] ;
Magdaleno, Javier Yeste [DBLP] ;
Jansen, V [DBLP] ;
Kirchbuchner, Florian [DBLP] ;
Kuijper, Arjan [DBLP]
Abstract
The security of the commonly used face recognition algorithms is often doubted, as they appear vulnerable to so-called presentation attacks. While there are a number of detection methods that are using different light spectra to detect these attacks this is the first work to explore skin properties using the ultraviolet spectrum. Our multi-sensor approach consists of learning features that appear in the comparison of two images, one in the visible and one in the ultraviolet spectrum. We use brightness and keypoints as features for training, experimenting with different learning strategies. We present the results of our evaluation on our novel Face UV PAD database. The results of our method are evaluated in an leave-one-out comparison, where we achieved an APCER/BPCER of 0%/0.2%. The results obtained indicate that UV images in presentation attack detection include useful information that are not easy to overcome.
  • Citation
  • BibTeX
Siegmund, D., Kerckhoff, F., Magdaleno, J. Y., Jansen, V., Kirchbuchner, F. & Kuijper, A., (2020). Face Presentation Attack Detection in Ultraviolet Spectrum via Local and Global Features. In: Brömme, A., Busch, C., Dantcheva, A., Raja, K., Rathgeb, C. & Uhl, A. (Hrsg.), BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group. Bonn: Gesellschaft für Informatik e.V.. (S. 207-214).
@inproceedings{mci/Siegmund2020,
author = {Siegmund, Dirk AND Kerckhoff, Florian AND Magdaleno, Javier Yeste AND Jansen, V AND Kirchbuchner, Florian AND Kuijper, Arjan},
title = {Face Presentation Attack Detection in Ultraviolet Spectrum via Local and Global Features},
booktitle = {BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group},
year = {2020},
editor = {Brömme, Arslan AND Busch, Christoph AND Dantcheva, Antitza AND Raja, Kiran AND Rathgeb, Christian AND Uhl, Andreas} ,
pages = { 207-214 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
DateienGroesseFormatAnzeige
BIOSIG_2020_paper_10_update3.pdf5.315Mb PDF View/Open

Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Send Feedback

More Info

ISBN: 978-3-88579-700-5
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2020
Language: en (en)
Content Type: Text/Conference Paper

Keywords

  • Face Presentation Attack Detection PAD
  • Ultraviolet
  • MFP
  • Biometrics
Collections
  • P306 - BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group [33]

Show full item record


About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.

 

 


About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.