About: Near infrared face recognition by combining Zernike moments and undecimated discrete wavelet transform     Goto   Sponge   NotDistinct   Permalink

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  • 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. (en)
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 (en)
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 (en)
skos:notation
  • RIV/67985556:_____/14:00428536!RIV15-GA0-67985556
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(GAP103/11/1552)
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  • 1
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  • 31903
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/14:00428536
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  • Zernike moments; Undecimated discrete wavelet transform; Decision fusion; Near infrared; Face recognition (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [C4A24281CC4A]
http://linked.open...i/riv/nazevZdroje
  • Digital Signal Processing
http://linked.open...in/vavai/riv/obor
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  • 31
http://linked.open...iv/tvurceVysledku
  • Flusser, Jan
  • Shamsuddin, S. M.
  • Farokhi, S.
  • Jafari-Khouzani, K.
  • Khansari, M.
  • Sheikh, U.U.
http://linked.open...ain/vavai/riv/wos
  • 000337267200002
issn
  • 1051-2004
number of pages
http://bibframe.org/vocab/doi
  • 10.1016/j.dsp.2014.04.008
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