Handwritten Bangla Numerical Digit Recognition Using Fine Regulated Deep Neural Network
Open Access
- 1 July 2021
- journal article
- Published by ABC Journals in Engineering International
- Vol. 9 (2), 73-84
- https://doi.org/10.18034/ei.v9i2.551
Abstract
The recognition of handwritten Bangla digit is providing significant progress on optical character recognition (OCR). It is a very critical task due to the similar pattern and alignment of handwriting digits. With the progress of modern research on optical character recognition, it is reducing the complexity of the classification task by several methods, a few problems encounter during recognition and wait to be solved with simpler methods. The modern emerging field of artificial intelligence is the Deep Neural Network, which promises a solid solution to these few handwritten recognition problems. This paper proposed a fine regulated deep neural network (FRDNN) for the handwritten numeric character recognition problem that uses convolutional neural network (CNN) models with regularization parameters which makes the model generalized by preventing the overfitting. This paper applied Traditional Deep Neural Network (TDNN) and Fine regulated deep neural network (FRDNN) models with a similar layer experienced on BanglaLekha-Isolated databases and the classification accuracies for the two models were 96.25% and 96.99%, respectively over 100 epochs. The network performance of the FRDNN model on the BanglaLekha-Isolated digit dataset was more robust and accurate than the TDNN model and depend on experimentation. Our proposed method is obtained a good recognition accuracy compared with other existing available methods.Keywords
This publication has 9 references indexed in Scilit:
- Recognizing Bangla Handwritten Numeral Utilizing Deep Long Short Term MemoryInternational Journal of Image, Graphics and Signal Processing(ijigsp), 2019
- DEEP HOG: A HYBRID MODEL TO CLASSIFY BANGLA ISOLATED ALPHA-NUMERICAL SYMBOLSNeural Network World, 2019
- Handwritten digit segmentation: Is it still necessary?Pattern Recognition, 2018
- Handwritten Digit Recognition Using Machine Learning AlgorithmsIndonesian Journal of Science and Technology, 2018
- A Survey on using Neural Network based Algorithms for Hand Written Digit RecognitionInternational Journal of Advanced Computer Science and Applications, 2018
- Shape decomposition-based handwritten compound character recognition for Bangla OCRJournal of Visual Communication and Image Representation, 2018
- A Bengali Handwritten Vowels Recognition Scheme Based on the Detection of Structural Anatomy of the CharactersAdvances in Intelligent Systems and Computing, 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