• DocumentCode
    2767228
  • Title

    Compression strategy for handwritten gray level document images

  • Author

    Khangar, S.V. ; Bharne, D.P. ; Malik, Latesh G.

  • Author_Institution
    Deptt. of Comput. Sci. & Eng., G.H.R.C.E., Nagpur, India
  • fYear
    2012
  • fDate
    19-20 Oct. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The paper deals with the effective compression of the handwritten text images in Devnagri script. As data compression is one of interesting area in image processing. Compression methods for printed text images are available. But in the context of Indian language there is absence of the compression techniques for handwritten text document images. Here a method for compression of handwritten gray level document images is proposed. Experiments have been done for Marathi and Hindi Devnagri script. The strategy is based on the connected components analysis and shifting of connected components of an image. The results are shown for gray level images at various dpi and outperform towards achieving good compression ratio.
  • Keywords
    data compression; document image processing; handwritten character recognition; image coding; natural language processing; text analysis; Hindi Devnagri script; Indian language; Marathi script; data compression; handwritten gray level document image compression strategy; handwritten text document image compression; image processing; printed text images; Computers; Conferences; Context; Image coding; Pattern matching; Transform coding; Connected Components; Devanagri script; Gray level document; Handwritten Text;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Information & Computing Technology (ICCICT), 2012 International Conference on
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4577-2077-2
  • Type

    conf

  • DOI
    10.1109/ICCICT.2012.6398183
  • Filename
    6398183