Handwritten Devanagari Text Recognition using ResNet101

Volume 20 No 6 (2022)

Priyanka Yadav , Mukesh Kumar Gupta, Manish Sharma , Partibha Dabas

DOI: 10.14704/nq.2022.20.6.NQ22841

Abstract

Development of machine learning algorithms to recognize handwritten text and convert it to digital text has been a burning research area for the researchers. Development of such recognition algorithms through machine learning tools is very critical and time consuming. Though, deep learning algorithms have been simplified various pre-processing and other obstacles to develop robust algorithms.

Keywords

:ResNet101, Devanagari, Handwriting, Recognition, UCI+ISI+Kaggle

Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.