Character Recognition of Offline Handwritten Marathi Documents Written in MODI Script Using Deep Learning Convolutional Neural Network Model-Reference-Cited by-同舟云学术

Character Recognition of Offline Handwritten Marathi Documents Written in MODI Script Using Deep Learning Convolutional Neural Network Model

Published:2021 Issue: Volume: Page:478-487
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Tamhankar Parag A.,Masalkar Krishnat D.,Kolhe Satish R.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-16-0507-9_40

Reference10 articles.

1. Guha, R., Das, N., Kundu, M., Nasipuri, M., Santosh, K.C.: DevNet: an efficient CNN architecture for handwritten devanagari character recognition. Int. J. Pattern Recogn. Artif. Intell. 34, 2052009 (2020)

2. Besekar, D.N., Ramteke, R.J.: Study for theoretical analysis of handwritten MODI script–a recognition perspective. Int. J. Comput. Appl. 64(3), 45–49 (2013)

3. Rathi, S., Jadhav, R.H., Ambildhok, R.A.: Recognition and conversion of handwritten MODI characters. Int. J. Tech. Res. Appl. 111(2), 28–34 (2015)

4. Communications in Computer and Information Science;M Ghosh,2019

5. Ramteke, A.S., Katkar, G.S.: Recognition of off-line MODI script: a structure similarity approach. Int. J. ICT Manage. 1(1), 12–15 (2013)

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