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Segmentation of Handwritten Gurmukhi Text into Lines

Published on April 2012 by Ashu Kumar, Simpel Rani Jindal
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International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
Foundation of Computer Science USA
IRAFIT - Number 9
April 2012
Authors: Ashu Kumar, Simpel Rani Jindal
6f5d7347-773a-4e7d-a189-6f1f0abfad88

Ashu Kumar, Simpel Rani Jindal . Segmentation of Handwritten Gurmukhi Text into Lines. International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012). IRAFIT, 9 (April 2012), 13-17.

@article{
author = { Ashu Kumar, Simpel Rani Jindal },
title = { Segmentation of Handwritten Gurmukhi Text into Lines },
journal = { International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012) },
issue_date = { April 2012 },
volume = { IRAFIT },
number = { 9 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 13-17 },
numpages = 5,
url = { /proceedings/irafit/number9/5912-1068/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
%A Ashu Kumar
%A Simpel Rani Jindal
%T Segmentation of Handwritten Gurmukhi Text into Lines
%J International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
%@ 0975-8887
%V IRAFIT
%N 9
%P 13-17
%D 2012
%I International Journal of Computer Applications
Abstract

Text line segmentation is an essential pre-processing stage for handwriting recognition in many Optical Character Recognition (OCR) systems. It is an important step because inaccurately segmented text lines will cause errors in the recognition stage. Text line segmentation of the handwritten documents is still one of the most complicated problems in developing a reliable OCR. The nature of handwriting makes the process of text line segmentation very challenging. Text characteristics 3can vary in font, size, shape, style, orientation, alignment, texture, color, contrast and background information. These variations turn the process of word detection complex and difficult [2]. In the case of handwritten documents, differently from machine printed, the complexity of the problem even increases. Since handwritten text can vary greatly depending on the user skill, disposition and even cultural background. A new technique to segment a handwritten document into distinct lines of text is presented. The proposed method is robust to handle line fluctuation.

References
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  10. Rajiv K. Sharma & Dr. Amardeep Singh, "Segmentation of Handwritten Text in Gurmukhi Script", pp. 12-17, IJIP-11, 2008.
  11. Naresh Garg, M.K. Jindal, "Segmentation of Handwritten Hindi Text", pp. 19-23, IJCA, 2010.
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  14. U. Pal and S. Datta, "Segmentation of Bangla unconstrained handwritten text", pp. 1128-1132, ICDAR-7, 2003.
Index Terms

Computer Science
Information Sciences

Keywords

Ocr Line Segmentation Piece-wise Separating Lines