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Shirorekha Chopping Integrated Tesseract OCR Engine for Enhanced Hindi Language Recognition

by Nitin Mishra, C. Patvardhan, C. Vasantha Lakshmi, Sarika Singh
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 6
Year of Publication: 2012
Authors: Nitin Mishra, C. Patvardhan, C. Vasantha Lakshmi, Sarika Singh
10.5120/4824-7076

Nitin Mishra, C. Patvardhan, C. Vasantha Lakshmi, Sarika Singh . Shirorekha Chopping Integrated Tesseract OCR Engine for Enhanced Hindi Language Recognition. International Journal of Computer Applications. 39, 6 ( February 2012), 19-23. DOI=10.5120/4824-7076

@article{ 10.5120/4824-7076,
author = { Nitin Mishra, C. Patvardhan, C. Vasantha Lakshmi, Sarika Singh },
title = { Shirorekha Chopping Integrated Tesseract OCR Engine for Enhanced Hindi Language Recognition },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 6 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number6/4824-7076/ },
doi = { 10.5120/4824-7076 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:25:44.483412+05:30
%A Nitin Mishra
%A C. Patvardhan
%A C. Vasantha Lakshmi
%A Sarika Singh
%T Shirorekha Chopping Integrated Tesseract OCR Engine for Enhanced Hindi Language Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 6
%P 19-23
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Tesseract OCR Engine is one of the most efficient open source OCR engines currently available. Recently, Tesseract OCR 3.01 is capable of recognizing Hindi language but still it needs some enhancement to improve the performance. The Hindi language recognition accuracy is quite low even for the printed text, as the conjunct character combinations of Hindi Language are not easily separable due to partial overlapping. The proposed approach solves this problem, so that Devanagari conjunct characters can easily be segmented and recognized using Tesseract OCR Engine. This paper presents a complete methodology to improve The Hindi Language Recognition accuracy. This paper also presents comparison with other Devanagari OCR engines available on the basis of recognition accuracy, processing time, font variations and database size.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Tesseract Hindi OCR Shirorekha Chopping Character Segmentation

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