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Evaluation of Classification and Feature Extraction Techniques for Simple Mathematical Equations

by Sanjay S. Gharde, Baviskar Pallavi V., K. P. Adhiya
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 5
Year of Publication: 2012
Authors: Sanjay S. Gharde, Baviskar Pallavi V., K. P. Adhiya
10.5120/ijais12-450183

Sanjay S. Gharde, Baviskar Pallavi V., K. P. Adhiya . Evaluation of Classification and Feature Extraction Techniques for Simple Mathematical Equations. International Journal of Applied Information Systems. 1, 5 ( February 2012), 34-38. DOI=10.5120/ijais12-450183

@article{ 10.5120/ijais12-450183,
author = { Sanjay S. Gharde, Baviskar Pallavi V., K. P. Adhiya },
title = { Evaluation of Classification and Feature Extraction Techniques for Simple Mathematical Equations },
journal = { International Journal of Applied Information Systems },
issue_date = { February 2012 },
volume = { 1 },
number = { 5 },
month = { February },
year = { 2012 },
issn = { 2249-0868 },
pages = { 34-38 },
numpages = {9},
url = { https://www.ijais.org/archives/volume1/number5/92-0183/ },
doi = { 10.5120/ijais12-450183 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:41:31.493986+05:30
%A Sanjay S. Gharde
%A Baviskar Pallavi V.
%A K. P. Adhiya
%T Evaluation of Classification and Feature Extraction Techniques for Simple Mathematical Equations
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 1
%N 5
%P 34-38
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recognition of simple mathematical equation can applied on on-line or off-line samples. This system can applicable for publicly available dataset or researchers can prepare their own dataset for training and testing samples. In particular, we try to focus on evaluation of various methods used for recognition system. Moreover, some necessary issues in simple mathematical equation recognition will be addressed in depth. This paper discusses various steps of recognition process for simple mathematical equations. In that, pre-processing, segmentation, feature extraction, classification and recognition for mathematical symbol as well as for simple expression is described. Among the various phases applied in recognition system, features extraction and classification method may affect the overall accuracy of the system. Therefore, various techniques applied in this context are studied and comparative analysis is prepared. This evaluation study suggests better feature extraction and classification technique for improving the recognition rate of simple mathematical equation system.

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Index Terms

Computer Science
Information Sciences

Keywords

Mathematical equation recognition; symbol recognition; support vector machine; segmentation; classification; feature extraction

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