Publication detail

Applying Fusion in Thermal Face Recognition

VÁŇA, J. MRÁČEK, Š. YANUSHKEVICH, S. DRAHANSKÝ, M.

Original Title

Applying Fusion in Thermal Face Recognition

Type

conference paper

Language

English

Original 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.

Keywords

Thermal Face recognition, ICA, PCA, Fusion, Biometric

Authors

VÁŇA, J.; MRÁČEK, Š.; YANUSHKEVICH, S.; DRAHANSKÝ, M.

RIV year

2012

Released

31. 7. 2012

Publisher

Fraunhofer Institute - Graphic Data Processing Institute

Location

Darmstadt

ISBN

978-3-88579-290-1

Book

BIOSIG 2012

Edition

Lecture Notes in Informatics (LNI) - Proceedings

ISBN

1617-5468

Periodical

GI-Edition Lecture Notes in Informatics (LNI)

Year of study

11

Number

8

State

Federal Republic of Germany

Pages from

233

Pages to

244

Pages count

12

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"
}