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Estimation of Tilt in Characters and Correction for better Readability by OCR Systems

by C. S. Vijayashree, Vishwanath C. Kagawade, T. Vasudev
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 90 - Number 13
Year of Publication: 2014
Authors: C. S. Vijayashree, Vishwanath C. Kagawade, T. Vasudev
10.5120/15777-4471

C. S. Vijayashree, Vishwanath C. Kagawade, T. Vasudev . Estimation of Tilt in Characters and Correction for better Readability by OCR Systems. International Journal of Computer Applications. 90, 13 ( March 2014), 1-7. DOI=10.5120/15777-4471

@article{ 10.5120/15777-4471,
author = { C. S. Vijayashree, Vishwanath C. Kagawade, T. Vasudev },
title = { Estimation of Tilt in Characters and Correction for better Readability by OCR Systems },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 90 },
number = { 13 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume90/number13/15777-4471/ },
doi = { 10.5120/15777-4471 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:10:55.119859+05:30
%A C. S. Vijayashree
%A Vishwanath C. Kagawade
%A T. Vasudev
%T Estimation of Tilt in Characters and Correction for better Readability by OCR Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 90
%N 13
%P 1-7
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The existing Optical Character Readers (OCRs) are capable of reading linear form text and have limitations to read artistic and non-linear form text. The tilt in characters contributes a major share in affecting the efficiency of the recognition algorithms. This paper presents a technique to estimate and correct the vertical tilt in printed characters of English in order to make an OCR to read the text more efficiently. The input characters are assumed to be segmented from the document image and free from noise. Initially, the direction of tilt of the characters is detected using a heuristically constructed knowledgebase. Next, the inclination of the character to its base is estimated using line drawing algorithm. Finally, the estimated tilt is corrected through rotation in counter direction of the tilt. The method has been tested with sufficient samples and readability analysis is performed with an OCR. Experimental results show an average improvement in readability by OCR from 20% before tilt correction to 82% after the tilt correction.

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Index Terms

Computer Science
Information Sciences

Keywords

Linear text Artistic text Tilt in characters Tilt correction OCR.

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