• DocumentCode
    2655074
  • Title

    Text line extraction from multi-skewed handwritten documents

  • Author

    Jiang Yong ; Chen Xiaojing

  • Author_Institution
    Wenzhou Port & Shipping Manage. Bur., Wenzhou
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    412
  • Lastpage
    415
  • Abstract
    A text line extraction method is presented for multi-skewed handwritten document images. First the whole document image is divided into several sub-images with overlapped area, then for every sub-image, it assumes that hypothetical water flows, from both left and right sides of the image frame, face obstruction from characters of text lines. The stripes of areas left unwetted on the sub-images are labeled for extraction of text lines. Finally, touching lines are segmented by detecting the bottom edge points. The experimental results show the approach is effective and available to extract curved text lines.
  • Keywords
    feature extraction; handwritten character recognition; image segmentation; optical character recognition; text analysis; OCR; multi-skewed handwritten documents; text line extraction; touching line segmentation; Computer graphics; Computer vision; Face detection; Handwriting recognition; Image edge detection; Image processing; Image segmentation; Labeling; Optical character recognition software; Text analysis; Line extraction; Multi-skewed; OCR; Touching line segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2008. CCC 2008. 27th Chinese
  • Conference_Location
    Kunming
  • Print_ISBN
    978-7-900719-70-6
  • Electronic_ISBN
    978-7-900719-70-6
  • Type

    conf

  • DOI
    10.1109/CHICC.2008.4604879
  • Filename
    4604879