Bangla Handwritten Characters Recognition Using Convolutional Neural Network
Open Access
- 31 March 2022
- journal article
- Published by Universe Publishing Group - UniversePG in Australian Journal of Engineering and Innovative Technology
Abstract
In the Bangla language, there are 50 complex-shaped characters and working with this huge amount of characters with an appropriate set of features is a tough problem to recognize handwritten characters. Moreover, ambiguity and precision errors are common in handwritten words. Furthermore, among a large number of complex-shaped letters, some are quite similar in shape, making handwritten Bangla characters difficult to recognize. In this work, we proposed a convolutional neural network-based approach for recognizing the handwritten Bangla alphabet. In character recognition, the convolutional neural network (CNN) outperforms most of the other models. However, to guarantee a satisfactory performance, CNNs usually need a great number of samples. Bangla handwriting recognition has been a hot topic for several years, but due to the similarity of many Bangla characters, it's difficult to achieve good results. By training and testing on Bangla character datasets, the model gets a 90.22% validation accuracy for Bangalekha isolated dataset and 93.22% validation accuracy for the Ekush dataset.Keywords
This publication has 7 references indexed in Scilit:
- A Qualitative Survey on Deep Learning Based Deep fake Video Creation and Detection MethodAustralian Journal of Engineering and Innovative Technology, 2022
- Ekush: A Multipurpose and Multitype Comprehensive Database for Online Off-Line Bangla Handwritten CharactersPublished by Springer Science and Business Media LLC ,2019
- Bangla Handwritten Character Recognition using Convolutional Neural Network with Data AugmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2019
- Bengali handwritten character recognition using deep convolutional neural networkPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Understanding of a convolutional neural networkPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- BanglaLekha-Isolated: A multi-purpose comprehensive dataset of Handwritten Bangla Isolated charactersData in Brief, 2017
- Bangla Handwritten Character Recognition using Convolutional Neural NetworkInternational Journal of Image, Graphics and Signal Processing(ijigsp), 2015