Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

<Previous Article In Volume
Next Article In Volume>

SVM Classifier for Offline Handwritten and Printed Mathematical Expression Recognition

Authors
Manisha Bharambe1, *, Kavita Kobragade2, Poonam Ponde3
1MES Abasaheb Garware College, Karve Road, Pune, India
2Fergusson College, F.C. Road, Pune, India
3N. Wadia College, Pune, India
*Corresponding author. Email: mgb.agc@mespune.in
Corresponding Author
Manisha Bharambe
Available Online 1 May 2023.
DOI
10.2991/978-94-6463-136-4_84How to use a DOI?
Keywords
Offline handwritten and printed; Mathematical expression recognition; logical expressions; SVM; recognition rate
Abstract

The recognition of Mathematical Expressions (ME) constitutes a challenging problem in character recognition research. A very few studies of offline Mathematical expressions have been so far reported in the literature. This paper focuses on offline handwritten and printed mathematical logical expressions recognition using Support Vector Machine classifier (SVM). In the work of expression recognition, the expressions were segmented into individual characters. The feature extraction method with combination of Normalized chain code and zone based density was used to get the features of a character. The present work considers logical expressions with subscripts for recognition. The experimental results for recognition rates of handwritten and printed expressions are reported. The result shows that the recognition rate of handwritten expression is 84.1% and that for printed expression is 90.3%.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
Series
Advances in Computer Science Research
Publication Date
1 May 2023
ISBN
10.2991/978-94-6463-136-4_84
ISSN
2352-538X
DOI
10.2991/978-94-6463-136-4_84How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Manisha Bharambe
AU  - Kavita Kobragade
AU  - Poonam Ponde
PY  - 2023
DA  - 2023/05/01
TI  - SVM Classifier for Offline Handwritten and Printed Mathematical Expression Recognition
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 953
EP  - 965
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_84
DO  - 10.2991/978-94-6463-136-4_84
ID  - Bharambe2023
ER  -