Performance Comparison of Machine Learning Models for Handwritten Devanagari Numerals Classification-Reference-Cited by-同舟云学术

Performance Comparison of Machine Learning Models for Handwritten Devanagari Numerals Classification

Published:2023 Issue: Volume:11 Page:133363-133371
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Gummaraju Agastya¹,Shenoy Ajitha K. B.¹^ORCID,Pai Smitha N.¹^ORCID

Affiliation:

1. Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

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/ielx7/6287639/10005208/10328868.pdf?arnumber=10328868

Reference35 articles.

1. Handwritten Hindi Digits Recognition Using Convolutional Neural Network with RMSprop Optimization

2. Illumination-robust face recognition based on deep convolutional neural networks architectures

3. MNIST handwritten digit recognition with different CNN architectures;seng;Technol Innov Appl,2021

4. Handwritten Digit Recognition Using K-Nearest Neighbour Classifier

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