• DocumentCode
    2531051
  • Title

    Canonical syllable segmentation of Telugu document images

  • Author

    Reddy, Pratap L. ; Sastry, A.S.C. ; Rao, Srinivasa A V ; Rao, Venkat N.

  • Author_Institution
    Dept. of ECE, JNTU Coll. of Eng., Hyderabad
  • fYear
    2008
  • fDate
    19-21 Nov. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We propose a classical approach in the segmentation of canonical syllables of Telugu document images. Connected component approach is a simple strategy adopted until recent period. In this paper we propose a canonical syllable model which is equivalent to canonical structure C(C(CV))). The model consists of zone separation and component extraction phases as independent parts. The relation between zones and components is established in the segmentation process of canonical syllable. The segmentation efficiency of the proposed model is evaluated with respect to the canonical groups.
  • Keywords
    feature extraction; image segmentation; Telugu document images; canonical syllable segmentation; component extraction phases; zone separation; Character recognition; Educational institutions; Feature extraction; Histograms; Image analysis; Image segmentation; Optical character recognition software; Prediction algorithms; Testing; Text recognition; Canonical syllable and Segmentation efficiency; Connected components; Core component; Segmentation; Zones; other components;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2008 - 2008 IEEE Region 10 Conference
  • Conference_Location
    Hyderabad
  • Print_ISBN
    978-1-4244-2408-5
  • Electronic_ISBN
    978-1-4244-2409-2
  • Type

    conf

  • DOI
    10.1109/TENCON.2008.4766756
  • Filename
    4766756