Handwritten Gujarati Numerals Classification Based on Deep Convolution Neural Networks Using Transfer Learning Scenarios-Reference-Cited by-同舟云学术

Handwritten Gujarati Numerals Classification Based on Deep Convolution Neural Networks Using Transfer Learning Scenarios

Published:2023 Issue: Volume:11 Page:20202-20215
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Goel Parth¹^ORCID,Ganatra Amit²

Affiliation:

1. Computer Science and Engineering Department, Devang Patel Institute of Advance Technology and Research (DEPSTAR), Faculty of Technology and Engineering, Charotar University of Science and Technology (CHARUSAT), Anand, Changa, India

2. Computer Science and Engineering Department, Faculty of Engineering and Technology, Parul University (PU), Waghodiava, Vadodara, India

Funder

Anita Devang Patel Ipcowala Center of Excellence in Artificial Intelligence

Charotar University of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10054369.pdf?arnumber=10054369

Reference41 articles.

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4. A study on the effect of CNN-based transfer learning on handwritten Indic and mixed numeral recognition;pramanik;Proceeding of the Workshop on Document Analysis and Recognition,2018

5. Rethinking the Inception Architecture for Computer Vision

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