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

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Handwritten Gujarati Character Recognition Using Machine Learning and Deep Learning

Authors
Yogiraj Zala1, *, Krishn Limbachiya1, Ankit Sharma1, Pooja Shah2
1Department of Electronics and Instrumentation Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India
2Department of Computer Science and Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India
*Corresponding author. Email: 19bic071@nirmauni.ac.in
Corresponding Author
Yogiraj Zala
Available Online 1 May 2023.
DOI
10.2991/978-94-6463-136-4_76How to use a DOI?
Keywords
Handwritten Gujarati numerals; Numerals classification; Deep Learning; Machine Learning techniques
Abstract

Gujarati character recognition has always been a field of study in need of improved techniques to reach a satisfactory degree of accuracy. This study developed a technique for predicting handwritten Gujarati numerals using various feature extraction and classification techniques. Deep learning models, including MobileNet, DenseNet, and NasNetMobile, are components of the feature extraction technique. XGBoost, Random Forest, Logistic Regression, Naive Bayes, Stochastic Gradient Descent, Decision Tree, and K-Nearest Neighbor are some of the techniques used to classify Gujarati numerals. This study used over 14,000 images of Gujarati numerals for an experiment and found significant outcomes.

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.

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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
978-94-6463-136-4
ISSN
2352-538X
DOI
10.2991/978-94-6463-136-4_76How 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  - Yogiraj Zala
AU  - Krishn Limbachiya
AU  - Ankit Sharma
AU  - Pooja Shah
PY  - 2023
DA  - 2023/05/01
TI  - Handwritten Gujarati Character Recognition Using Machine Learning and Deep Learning
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 863
EP  - 873
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_76
DO  - 10.2991/978-94-6463-136-4_76
ID  - Zala2023
ER  -