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Reseach Article

Diagnosis of Mathematical Symbols using Hidden Markov Model

by Mohamad Hassan Asadi, Abbas Akkasi, Ebrahim Zargarpour, Zahra Mohammdi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 125 - Number 1
Year of Publication: 2015
Authors: Mohamad Hassan Asadi, Abbas Akkasi, Ebrahim Zargarpour, Zahra Mohammdi
10.5120/ijca2015905711

Mohamad Hassan Asadi, Abbas Akkasi, Ebrahim Zargarpour, Zahra Mohammdi . Diagnosis of Mathematical Symbols using Hidden Markov Model. International Journal of Computer Applications. 125, 1 ( September 2015), 40-42. DOI=10.5120/ijca2015905711

@article{ 10.5120/ijca2015905711,
author = { Mohamad Hassan Asadi, Abbas Akkasi, Ebrahim Zargarpour, Zahra Mohammdi },
title = { Diagnosis of Mathematical Symbols using Hidden Markov Model },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 125 },
number = { 1 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 40-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume125/number1/22399-2015905711/ },
doi = { 10.5120/ijca2015905711 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:14:54.213219+05:30
%A Mohamad Hassan Asadi
%A Abbas Akkasi
%A Ebrahim Zargarpour
%A Zahra Mohammdi
%T Diagnosis of Mathematical Symbols using Hidden Markov Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 125
%N 1
%P 40-42
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Diagnosis of mathematical symbols in handwritings is originated from Optical Character Recognition (OCR) method. Recognition of mathematical symbols increases the accuracy of calculations. In present study, hidden Markov model is applied with a new feature selection system. Considering previous studies, a lot of researches performed on mathematical symbols recognition, have used support vector machine. Test process in this method is time-consuming and it is not advised to use it. In this new approach, the result is 96.05% accuracy for Infity database and 96% for IRISA database.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Mathematical symbols optical character recognition (OCR) hidden Markov model