Handwritten Bangla Numerical Digit Recognition Using Fine Regulated Deep Neural Network

Engineering International

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Field Value
 
Title Handwritten Bangla Numerical Digit Recognition Using Fine Regulated Deep Neural Network
 
Creator Hossain, Md. Shahadat
Hossain, Md. Anwar
Abadin, AFM Zainul
Ahmed, Md. Manik
 
Subject Bangla Handwritten Recognition
OCR
DCNN
TDNN
FRDNN
 
Description 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.
 
Publisher Asian Business Consortium
 
Date 2021-07-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://abc.us.org/ojs/index.php/ei/article/view/551
10.18034/ei.v9i2.551
 
Source Engineering International; Vol. 9 No. 2 (2021): July - December Issue; 73-84
2409-3629
10.18034/ei.v9i2
 
Language eng
 
Relation https://abc.us.org/ojs/index.php/ei/article/view/551/1057
 
Rights Copyright (c) 2021 Md. Shahadat Hossain, Md. Anwar Hossain, AFM Zainul Abadin, Md. Manik Ahmed
https://creativecommons.org/licenses/by-nc/4.0
 

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