Abstract

The field of mathematics is very important with its applications in every aspect of science in general and engineering in particular. Mathematical expressions form a vital component of mathematical literature. Consequently, recognition of mathematical expressions has become a highly active and challenging research area nowadays having great practical significance. Different concepts from pattern recognition and digital image processing are utilised for the accomplishment of classification and recognition of mathematical expressions. The main task involved is the automatic recognition of different mathematical symbols. Several classification approaches have been used on different databases under different experimental conditions resulting in different performances and classification accuracies. In this paper, a review of different techniques of mathematical expression recognition is presented.

Details

Title
An Analysis of Mathematical Expression Recognition Techniques
Author
Nailah Afshan
Pages
2021-2026
Publication year
2017
Publication date
May 2017
Publisher
International Journal of Advanced Research in Computer Science
e-ISSN
09765697
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1912629427
Copyright
© May 2017. This work is published under https://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.