• DocumentCode
    2563686
  • Title

    Character recognition of the Batak Toba alphabet using signatures and simplified chain code

  • Author

    Panggabean, Mauritz ; Rønningen, Leif Arne

  • Author_Institution
    Dept. of Telematics, Norwegian Univ. of Sci. & Technol. (NTNU), Trondheim, Norway
  • fYear
    2009
  • fDate
    18-19 Nov. 2009
  • Firstpage
    215
  • Lastpage
    220
  • Abstract
    This paper presents the simplified chain code (SCC) from our concept of basic shape to recognize the characters of Batak Toba alphabet. The proposed chain code is based on the eight-direction Freeman chain code from which the horizontal and vertical directions are omitted. Hence we focus on shapes with dominant diagonal contours which characterize the recognized alphabet. Our implementation shows that recognizing the alphabet using the scale-invariant SCC can achieve more than 90% accuracy and is more than 10 times faster than that using signatures. To the best of our knowledge, this is the first reported attempt of recognizing the Batak Toba alphabet.
  • Keywords
    character recognition; natural language processing; Batak Toba alphabet; character recognition; dominant diagonal contour; eight-direction Freeman chain code; signatures; simplified chain code; Character recognition; Eyes; Humans; Image processing; Image recognition; Natural languages; Paper technology; Shape; Signal processing; Telematics; Basic Shape; Character Recognition; Simplified Chain Code;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-5560-7
  • Type

    conf

  • DOI
    10.1109/ICSIPA.2009.5478614
  • Filename
    5478614