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Volumn 3, Issue , 2009, Pages 18-21

Vehicle-logo recognition method based on Tchebichef moment invariants and SVM

Author keywords

Support vector machines; Tchebichef moment invariants; Vehicle logo recognition (VLR)

Indexed keywords

FEATURE VECTORS; HU MOMENTS; INVARIANT MOMENT; LOGO RECOGNITION; NOISY ENVIRONMENT; RECOGNITION ACCURACY; RECOGNITION RATES; TCHEBICHEF MOMENT INVARIANTS; ZERNIKE MOMENT INVARIANTS;

EID: 72849149139     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCSE.2009.263     Document Type: Conference Paper
Times cited : (24)

References (8)
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    • ZHAO Chun-hui, LI Yu-fei. Recognition for sonar image based on improved histogram invariantmoments [J]. Applied Science and Technology, 2007, 34(11): 19-24.
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    • Chun-hui, Z.H.A.O.1    Yu-fei, L.I.2
  • 4
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    • Wang Xiaoguang, Wang Xiaohua. An Effective Method for Chinese Character Recognition in License Plate[J]. Computer Engineering and Applications, 2004, 24: 208-209.
    • (2004) Computer Engineering and Applications , vol.24 , pp. 208-209
    • Wang, X.1    Wang, X.2
  • 5
    • 0030191206 scopus 로고    scopus 로고
    • Recognition and pose estimation of unoccluded three-dimensional objects from a two-dimensional perspective view by banks of neural Networks[J]
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    • (1996) IEEE Transactions on Neural networks , vol.7 , Issue.4 , pp. 897-906
    • Khotanzad, A.1    Lion, J.J.H.2
  • 6
    • 0033892001 scopus 로고    scopus 로고
    • Zernike moment-based image shape analysis and its application[J]
    • Zhenjiang Miao. Zernike moment-based image shape analysis and its application[J]. Pattern Recognition Letters. 2000, 21(2): 169-177.
    • (2000) Pattern Recognition Letters , vol.21 , Issue.2 , pp. 169-177
    • Miao, Z.1
  • 7
    • 0027540417 scopus 로고
    • Orthogonal moment operators for subpixel edge detection[J]
    • S Ghosal, R Mehrotra. Orthogonal moment operators for subpixel edge detection[J]. Pattern Recognition. 1993, 26(2): 295-306.
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    • Ghosal, S.1    Mehrotra, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.