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Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F12%3APU101841%21RIV13-GA0-26230___
rdf:type
skos:Concept n14:Vysledek
dcterms:description
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. 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.
dcterms:title
Applying Fusion in Thermal Face Recognition Applying Fusion in Thermal Face Recognition
skos:prefLabel
Applying Fusion in Thermal Face Recognition Applying Fusion in Thermal Face Recognition
skos:notation
RIV/00216305:26230/12:PU101841!RIV13-GA0-26230___
n14:predkladatel
n15:orjk%3A26230
n3:aktivita
n21:S n21:P
n3:aktivity
P(ED1.1.00/02.0070), P(GD102/09/H083), S
n3:dodaniDat
n13:2013
n3:domaciTvurceVysledku
n6:4527100 n6:9852441 n6:4255291
n3:druhVysledku
n20:D
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
123450
n3:idVysledku
RIV/00216305:26230/12:PU101841
n3:jazykVysledku
n16:eng
n3:klicovaSlova
Thermal Face recognition, ICA, PCA, Fusion, Biometric
n3:klicoveSlovo
n5:Fusion n5:PCA n5:ICA n5:Biometric n5:Thermal%20Face%20recognition
n3:kontrolniKodProRIV
[392C04E17A5A]
n3:mistoKonaniAkce
Darmstadt
n3:mistoVydani
Darmstadt
n3:nazevZdroje
BIOSIG 2012
n3:obor
n17:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
5
n3:projekt
n18:ED1.1.00%2F02.0070 n18:GD102%2F09%2FH083
n3:rokUplatneniVysledku
n13:2012
n3:tvurceVysledku
Mráček, Štěpán Yanushkevich, Svetlana Drahanský, Martin Váňa, Jan
n3:typAkce
n22:WRD
n3:zahajeniAkce
2012-09-06+02:00
s:numberOfPages
12
n19:hasPublisher
Fraunhofer Institute - Graphic Data Processing Institute
n10:isbn
978-3-88579-290-1
n9:organizacniJednotka
26230