• DocumentCode
    2759253
  • Title

    A Rule Based Approach for Skew Correction and Removal of Insignificant Data from Scanned Text Documents of Devanagari Script

  • Author

    Sharma, Pramod Kumar ; Dhingra, Kapil Dev ; Sanyal, Sudip

  • Author_Institution
    IIT Allahabad India, Allahabad
  • fYear
    2007
  • fDate
    16-18 Dec. 2007
  • Firstpage
    899
  • Lastpage
    903
  • Abstract
    In this paper we have presented a rule based approach for removing insignificant data and skew from scanned documents of Devanagari script. To develop an OCR system for Devanagari script is not an easy job hence proper preprocessing of these scanned documents requires noise removal and correcting skew from the image. The proposed system is based on rule based methods, morphological operations and connected component labeling. Images used for the experiment are binarised grayscale images. Experiments and results show that presented method is robust for preprocessing scanned images of Devanagari text documents.
  • Keywords
    document image processing; mathematical morphology; text analysis; Devanagari script; binarised grayscale images; connected component labeling; morphological operations; of insignificant data removal; rule based approach; scanned text documents; skew correction; Books; Focusing; Gray-scale; Internet; Labeling; Morphological operations; Noise robustness; Optical character recognition software; Printing; Thumb; Devanagari Script; Insignificant Data; OCR; Preprocessing; Skew Correction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal-Image Technologies and Internet-Based System, 2007. SITIS '07. Third International IEEE Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3122-9
  • Type

    conf

  • DOI
    10.1109/SITIS.2007.93
  • Filename
    4618869