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

Authors(2) :-Sheetal Mongla, Rajneesh Narula

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.

Authors and Affiliations

Sheetal Mongla
A.I.E.T Faridkot, Punjab, India
Rajneesh Narula
A.I.E.T Faridkot, Punjab, India

Line segmentation, OCR

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2016
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 35-39
Manuscript Number : IJSRSET162185
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Sheetal Mongla, Rajneesh Narula, " Line Segmentation of handwritten text documents written in Gurumukhi Script-A Review, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.35-39, March-April-2016.
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