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Multilingual OCR (MOCR): An Approach to Classify Words to Languages

by Mohammad Abu Obaida, Md. Jakir Hossain, Momotaz Begum, Md. Shahin Alam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 32 - Number 1
Year of Publication: 2011
Authors: Mohammad Abu Obaida, Md. Jakir Hossain, Momotaz Begum, Md. Shahin Alam
10.5120/3872-5414

Mohammad Abu Obaida, Md. Jakir Hossain, Momotaz Begum, Md. Shahin Alam . Multilingual OCR (MOCR): An Approach to Classify Words to Languages. International Journal of Computer Applications. 32, 1 ( October 2011), 46-53. DOI=10.5120/3872-5414

@article{ 10.5120/3872-5414,
author = { Mohammad Abu Obaida, Md. Jakir Hossain, Momotaz Begum, Md. Shahin Alam },
title = { Multilingual OCR (MOCR): An Approach to Classify Words to Languages },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 32 },
number = { 1 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 46-53 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume32/number1/3872-5414/ },
doi = { 10.5120/3872-5414 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:18:04.166988+05:30
%A Mohammad Abu Obaida
%A Md. Jakir Hossain
%A Momotaz Begum
%A Md. Shahin Alam
%T Multilingual OCR (MOCR): An Approach to Classify Words to Languages
%J International Journal of Computer Applications
%@ 0975-8887
%V 32
%N 1
%P 46-53
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

There are immense efforts to design a complete OCR for most of the world’s leading languages, however, multilingual documents either of handwritten or of printed form. As a united attempt, Unicode based OCRs were studied mostly with some positive outcomes, despite the fact that a large character set slows down the recognition significantly. In this paper, we come out with a method to classify words to a language as the word segmentation is complete. For the purpose, we identified the characteristics of writings of several languages and utilized projecting method combined with some other feature extraction methods. In addition, this paper intends a modified statistical approach to correct the skewness before processing a segmented document. The proposed procedure, evaluated for a collection of both handwritten and printed documents, came with excellent outcomes in assigning words to languages.

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Index Terms

Computer Science
Information Sciences

Keywords

OCR Multilingual OCR MOCR Classification

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