• DocumentCode
    2905987
  • Title

    Two-stage skew correction of handwritten Bangla document images

  • Author

    Malakar, Samir ; Seraogi, B. ; Sarkar, Rituparna ; Das, Niladri ; Basu, Sreetama ; Nasipuri, Mita

  • Author_Institution
    Dept. of MCA, MCKV Inst. of Eng., Howrah, India
  • fYear
    2012
  • fDate
    Nov. 30 2012-Dec. 1 2012
  • Firstpage
    303
  • Lastpage
    306
  • Abstract
    Skewness in the handwritten document images is a common scenario. Therefore, it is very much required to detect and correct the skewness before the document is presented to the document image analysis system. In this regard, the present work develops a two-stage Hough transform based approach to remove the skewness in the document images written in Bangla script. Firstly, page-level skewness is removed by rotating the skewed text lines appropriately and then skewed words in each text line, if any, are also rotated along a reference line.
  • Keywords
    Hough transforms; document image processing; object detection; Bangla script; document image analysis system; handwritten Bangla document image; page-level skewness; reference line; skewness correction; skewness detection; text line; two-stage Hough transform; two-stage skew correction; Clocks; Correlation; Estimation; Image analysis; Layout; Text analysis; Transforms; Handwritten Bangla script; Hough Transform; skew correction; word-level skew correction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Applications of Information Technology (EAIT), 2012 Third International Conference on
  • Conference_Location
    Kolkata
  • Print_ISBN
    978-1-4673-1828-0
  • Type

    conf

  • DOI
    10.1109/EAIT.2012.6407929
  • Filename
    6407929