A Comparative VGGNET and DENSENET Approaches to Recognize Malayalam Characters using Transfer Learning Techniques-Reference-Cited by-同舟云学术

A Comparative VGGNET and DENSENET Approaches to Recognize Malayalam Characters using Transfer Learning Techniques

Published:2022-11-10 Issue: Volume: Page:
ISSN:
Container-title:2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
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Author:

Bipin Nair B J¹,Mohan Adarsh¹

Affiliation:

1. Amrita School of Arts and Sciences,Department of Computer Science,Amrita Vishwa Vidyapeetham,Mysuru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9986507/9986494/09987266.pdf?arnumber=9987266

Reference42 articles.

1. Malayalam Handwritten Character Recognition Using AlexNet Based Architecture;james;Indonesian Journal of Electrical Engineering and Informatics (IJEEI),2018

2. Transfer Learning using CNN for Handwritten Devanagari Character Recognition

3. Offline Handwritten Malayalam Word Recognition Using a Deep Architecture

4. Handwritten Isolated Bangla Compound Character Recognition

5. Intelligent tool for Malayalam cursive handwritten character recognition using artificial neural network and Hidden Markov Model

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