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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
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" }