IDEAS home Printed from https://ideas.repec.org/a/ijs/ijsrse/v2y2016i2idhijsrset162185.html

Line Segmentation of handwritten text documents written in Gurumukhi Script-A Review

Author

Listed:
  • Sheetal Mongla
  • Rajneesh Narula

Abstract

Optical Character Recognition (OCR) is a process to recognize the handwritten or printed scanned text with the help of a computer. Segmentation is an important task of any OCR as accuracy of overall OCR system depends on the segmentation algorithm. Line segmentation of handwritten text documents is a very crucial step in optical character recognition because every user has a different writing pattern and style. Incorrect line segmentation leads to wrong results in word segmentation and finally in recognition. In printed text, line segmentation is quite easy due to consistent pattern and style. While segmenting the handwritten text documents into lines there are various problems that must be satisfied by the proposed algorithm. The objective of this paper gives the review on various problems present in Line segmentation of a handwritten document written in Gurumukhi Script by various authors.

Suggested Citation

  • Sheetal Mongla & Rajneesh Narula, 2016. "Line Segmentation of handwritten text documents written in Gurumukhi Script-A Review," International Journal of Scientific Research in Science, Engineering and Technology, International Journal of Scientific Research in Science, Engineering and Technology, vol. 2(2), pages 35-39, December.
    • Handle: RePEc:ijs:ijsrse:v2:y2016:i2:id:hijsrset162185
    Note: Article URL: https://ijsrset.com/IJSRSET162185
    as

    Download full text from publisher

    File URL: https://ijsrset.com/IJSRSET162185
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrset.com/paper/753.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ijs:ijsrse:v2:y2016:i2:id:hijsrset162185. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (email available below). General contact details of provider: https://ijsrset.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.