• DocumentCode
    1708045
  • Title

    Syllable segmentation of Telugu document images

  • Author

    Babu, Tummala Ranga ; Rao, Venkata N. ; Reddy, Pratap L. ; Prabhu, Krishna T S ; Babu, Raveendra B.

  • Author_Institution
    Dept. of ECE, RVR & JC Coll. of Eng., Guntur, India
  • Volume
    2
  • fYear
    2010
  • Abstract
    This paper describes Syllable Segmentation method for printed text documents in Telugu, a South Indian language. Syllable segmentation is a fundamental process for various applications namely word segmentation, speech synthesis and information retrieval. The segmentation algorithm is motivated by the structure of the script. The segmentation process is complicated due to inherent ambiguities of the natural language. This paper presents a non-dictionary approach for syllable segmentation in the context of Telugu language, using the syllable width and compared with the existing aspect ratio approach. The experimental results show the segmentation accuracy is more than 99%.
  • Keywords
    document image processing; image segmentation; South Indian language; Telugu document images; printed text documents; syllable segmentation; Character recognition; Data mining; Image recognition; Image segmentation; Optical character recognition software; Shape; Signal processing; Aspect Ratio; Syllable Segmentation; Syllable Width;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (ICSPS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-6892-8
  • Electronic_ISBN
    978-1-4244-6893-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2010.5555217
  • Filename
    5555217