• DocumentCode
    1685224
  • Title

    Rotation invariant features: a method, problems and possible solutions

  • Author

    Dhabe, P.S. ; Bakki, S.R. ; Kulkarni, U.V. ; Sontakke, T.R.

  • Author_Institution
    Electron. & Comput. Sci. & Eng. Dept., SGGS Coll. of Eng. & Technol., Vishnupuri, India
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1614
  • Lastpage
    1619
  • Abstract
    In this paper a new method is proposed to obtain rotation invariant features (RIFs) for black and white images. Variations in RIFs of an image, if rotated with angles other than multiple of 90, are minimized by modification to the method, to get RIFs consistent for all angles
  • Keywords
    computer vision; feature extraction; image classification; Zernike moments; angle rotation; black and white images; digital image; feature extraction; image classification; invariant features; rotation invariant features; Character recognition; Computer science; Digital images; Educational institutions; Humans; Image recognition; Intelligent systems; Optical character recognition software; Pixel; Tail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7278-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2002.1007759
  • Filename
    1007759
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1685224