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Statements

Subject Item
n2:RIV%2F68407700%3A21240%2F13%3A00212390%21RIV14-MSM-21240___
rdf:type
n15:Vysledek skos:Concept
rdfs:seeAlso
http://www.btas2013.org/
dcterms:description
The prerequisite for the accurate iris recognition is to detect all iris occlusions which would otherwise confuse a recognition method and impair its recognition rate. This paper presents a fast multispectral eyelid, eyelash, and reflection detection method based on the underlying three-dimensional spatial probabilistic textural model. The model first adaptively learns its parameters on the flawless iris texture part and subsequently checks for non iris occlusions using the recursive prediction analysis. We provide colour iris occlusion detection results that indicate the advantages of the proposed method and compare it with 97 recent Noisy Iris Challenge Evaluation algorithms. The prerequisite for the accurate iris recognition is to detect all iris occlusions which would otherwise confuse a recognition method and impair its recognition rate. This paper presents a fast multispectral eyelid, eyelash, and reflection detection method based on the underlying three-dimensional spatial probabilistic textural model. The model first adaptively learns its parameters on the flawless iris texture part and subsequently checks for non iris occlusions using the recursive prediction analysis. We provide colour iris occlusion detection results that indicate the advantages of the proposed method and compare it with 97 recent Noisy Iris Challenge Evaluation algorithms.
dcterms:title
Non-Iris Occlusions Detection Non-Iris Occlusions Detection
skos:prefLabel
Non-Iris Occlusions Detection Non-Iris Occlusions Detection
skos:notation
RIV/68407700:21240/13:00212390!RIV14-MSM-21240___
n15:predkladatel
n22:orjk%3A21240
n3:aktivita
n13:I n13:P
n3:aktivity
I, P(GA102/08/0593), P(GAP103/11/0335)
n3:dodaniDat
n14:2014
n3:domaciTvurceVysledku
n11:6878830 n11:2890542
n3:druhVysledku
n21:D
n3:duvernostUdaju
n6:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
91948
n3:idVysledku
RIV/68407700:21240/13:00212390
n3:jazykVysledku
n19:eng
n3:klicovaSlova
iris recognition; defect detection
n3:klicoveSlovo
n18:iris%20recognition n18:defect%20detection
n3:kontrolniKodProRIV
[224D98C5C760]
n3:mistoKonaniAkce
Washington DC
n3:mistoVydani
Piscataway
n3:nazevZdroje
2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)
n3:obor
n16:BD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n4:GAP103%2F11%2F0335 n4:GA102%2F08%2F0593
n3:rokUplatneniVysledku
n14:2013
n3:tvurceVysledku
Haindl, Michal Krupička, Mikuláš
n3:typAkce
n17:WRD
n3:zahajeniAkce
2013-09-29+02:00
s:numberOfPages
6
n20:doi
10.1109/BTAS.2013.6712729
n8:hasPublisher
IEEE
n24:isbn
978-1-4799-0527-0
n23:organizacniJednotka
21240