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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F14%3A00428536%21RIV15-GA0-67985556
rdf:type
n4:Vysledek skos:Concept
dcterms:description
This study proposes a novel near infrared face recognition algorithm based on a combination of both local and global features. In this method local features are extracted from partitioned images by means of undecimated discrete wavelet transform (UDWT) and global features are extracted from the whole face image by means of Zernike moments (ZMs). Spectral regression discriminant analysis (SRDA) is then used to reduce the dimension of features. In order to make full use of global and local features and further improve the performance, a decision fusion technique is employed by using weighted sum rule. Experiments conducted on CASIA NIR database and PolyU-NIRFD database indicate that the proposed method has superior overall performance compared to some other methods in the presence of facial expressions, eyeglasses, head rotation, image noise and misalignments. Moreover its computational time is acceptable for on-line face recognition systems. This study proposes a novel near infrared face recognition algorithm based on a combination of both local and global features. In this method local features are extracted from partitioned images by means of undecimated discrete wavelet transform (UDWT) and global features are extracted from the whole face image by means of Zernike moments (ZMs). Spectral regression discriminant analysis (SRDA) is then used to reduce the dimension of features. In order to make full use of global and local features and further improve the performance, a decision fusion technique is employed by using weighted sum rule. Experiments conducted on CASIA NIR database and PolyU-NIRFD database indicate that the proposed method has superior overall performance compared to some other methods in the presence of facial expressions, eyeglasses, head rotation, image noise and misalignments. Moreover its computational time is acceptable for on-line face recognition systems.
dcterms:title
Near infrared face recognition by combining Zernike moments and undecimated discrete wavelet transform Near infrared face recognition by combining Zernike moments and undecimated discrete wavelet transform
skos:prefLabel
Near infrared face recognition by combining Zernike moments and undecimated discrete wavelet transform Near infrared face recognition by combining Zernike moments and undecimated discrete wavelet transform
skos:notation
RIV/67985556:_____/14:00428536!RIV15-GA0-67985556
n3:aktivita
n17:I n17:P
n3:aktivity
I, P(GAP103/11/1552)
n3:cisloPeriodika
1
n3:dodaniDat
n13:2015
n3:domaciTvurceVysledku
n10:9579915
n3:druhVysledku
n16:J
n3:duvernostUdaju
n5:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
31903
n3:idVysledku
RIV/67985556:_____/14:00428536
n3:jazykVysledku
n14:eng
n3:klicovaSlova
Zernike moments; Undecimated discrete wavelet transform; Decision fusion; Near infrared; Face recognition
n3:klicoveSlovo
n9:Face%20recognition n9:Zernike%20moments n9:Decision%20fusion n9:Near%20infrared n9:Undecimated%20discrete%20wavelet%20transform
n3:kodStatuVydavatele
NL - Nizozemsko
n3:kontrolniKodProRIV
[C4A24281CC4A]
n3:nazevZdroje
Digital Signal Processing
n3:obor
n15:JD
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
6
n3:projekt
n8:GAP103%2F11%2F1552
n3:rokUplatneniVysledku
n13:2014
n3:svazekPeriodika
31
n3:tvurceVysledku
Jafari-Khouzani, K. Farokhi, S. Khansari, M. Sheikh, U.U. Shamsuddin, S. M. Flusser, Jan
n3:wos
000337267200002
s:issn
1051-2004
s:numberOfPages
27
n7:doi
10.1016/j.dsp.2014.04.008