Publication Details

Applying Fusion in Thermal Face Recognition

VÁŇA, J.; MRÁČEK, Š.; YANUSHKEVICH, S.; DRAHANSKÝ, M. Applying Fusion in Thermal Face Recognition. In BIOSIG 2012. GI-Edition Lecture Notes in Informatics (LNI). Lecture Notes in Informatics (LNI) - Proceedings. Darmstadt: Fraunhofer Institute - Graphic Data Processing Institute, 2012. p. 233-244. ISBN: 978-3-88579-290-1. ISSN: 1617-5468.
Czech title
Biometrická fúze v rozpoznávání termosnímků obličeje
Type
conference paper
Language
English
Authors
Váňa Jan, Ing.
Mráček Štěpán, Ing., Ph.D.
Yanushkevich Svetlana
Drahanský Martin, prof. Ing., Ph.D.
and others
Keywords

Thermal Face recognition, ICA, PCA, Fusion, Biometric

Abstract

Face recognition based on thermal images has minor importance in comparison to visible light spectrum recognition. Nevertheless, in the applications such as liveness detection or fever scan, the thermal face recognition is used as a standalone module, or as a part of a multi-modal biometric system. This paper investigates the combinations of many methods, used for thermal face recognition, and introduces some new and modified algorithms, which have not been used in this area yet. Moreover, we show that the choice of the best method is always limited to a certain database (input data). In order to address this problem, the multi-algorithmic biometric fusion based on the logistic regression is deployed.

Published
2012
Pages
233–244
Journal
GI-Edition Lecture Notes in Informatics (LNI), vol. 11, no. 8, ISSN 1617-5468
Proceedings
BIOSIG 2012
Series
Lecture Notes in Informatics (LNI) - Proceedings
ISBN
978-3-88579-290-1
Publisher
Fraunhofer Institute - Graphic Data Processing Institute
Place
Darmstadt
EID Scopus
BibTeX
@inproceedings{BUT97016,
  author="Jan {Váňa} and Štěpán {Mráček} and Svetlana {Yanushkevich} and Martin {Drahanský}",
  title="Applying Fusion in Thermal Face Recognition",
  booktitle="BIOSIG 2012",
  year="2012",
  series="Lecture Notes in Informatics (LNI) - Proceedings",
  journal="GI-Edition Lecture Notes in Informatics (LNI)",
  volume="11",
  number="8",
  pages="233--244",
  publisher="Fraunhofer Institute - Graphic Data Processing Institute",
  address="Darmstadt",
  isbn="978-3-88579-290-1",
  issn="1617-5468"
}
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