Conference paper

VÁŇA Jan, MRÁČEK Štěpán, YANUSHKEVICH Svetlana and DRAHANSKÝ Martin. Applying Fusion in Thermal Face Recognition. In: BIOSIG 2012. Darmstadt: Fraunhofer Institute - Graphic Data Processing Institute, 2012, pp. 233-244. ISBN 978-3-88579-290-1. ISSN 1617-5468.
Publication language:english
Original title:Applying Fusion in Thermal Face Recognition
Title (cs):Biometrická fúze v rozpoznávání termosnímků obličeje
Proceedings:BIOSIG 2012
Conference:Biometrie - BIOSIG 2012
Series:Lecture Notes in Informatics (LNI) - Proceedings
Place:Darmstadt, DE
Journal:GI-Edition Lecture Notes in Informatics (LNI), Vol. 11, No. 8, Bonn, DE
Publisher:Fraunhofer Institute - Graphic Data Processing Institute
Thermal Face recognition, ICA, PCA, Fusion, Biometric
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.
   author = {Jan V{\'{a}}{\v{n}}a and {\v{S}}t{\v{e}}p{\'{a}}n
	Mr{\'{a}}{\v{c}}ek and Svetlana Yanushkevich and Martin
   title = {Applying Fusion in Thermal Face Recognition},
   pages = {233--244},
   booktitle = {BIOSIG 2012},
   series = {Lecture Notes in Informatics (LNI) - Proceedings},
   journal = {GI-Edition Lecture Notes in Informatics (LNI)},
   volume = {11},
   number = {8},
   year = {2012},
   location = {Darmstadt, DE},
   publisher = {Fraunhofer Institute - Graphic Data Processing Institute},
   ISBN = {978-3-88579-290-1},
   ISSN = {1617-5468},
   language = {english},
   url = {}

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