JETIREXPLORE- Search Thousands of research papers



Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

Unique Identifier

JETIRCQ06017

Page Number

94-97

Share This Article


Title

Comparison Study of Handwritten Digit Recognition using Artificial Neural Network and Convolutional Neural Network: A Review

ISSN

2349-5162

Cite This Article

"Comparison Study of Handwritten Digit Recognition using Artificial Neural Network and Convolutional Neural Network: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.94-97, May - 2019, Available :http://www.jetir.org/papers/JETIRCQ06017.pdf

Abstract

Handwritten Character Recognition is one of the important application of Computer Vision. There has been a plentiful research done in the Handwritten Character Recognition using various Machine Learning algorithms on various Indian scripts like Devnanagri, Telugu , Tamil, Gurmukhi etc in last 3 decades but optimum recognition rate are yet to achieve in some scripts. In this review paper, we are comparing the classification accuracy of handwritten digit using artificial neural network and using state of the art deep learning model i.e. convolutional neural network.

Key Words

Handwritten Digit Recognition, Artificial Neural Network, Convolutional Neural Network, Deep Learning, Digit Classfication

Cite This Article

"Comparison Study of Handwritten Digit Recognition using Artificial Neural Network and Convolutional Neural Network: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp94-97, May - 2019, Available at : http://www.jetir.org/papers/JETIRCQ06017.pdf

Publication Details

Published Paper ID: JETIRCQ06017
Registration ID: 217284
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 94-97
ISSN Number: 2349-5162

Download Paper

Preview Article

Download Paper




Cite This Article

"Comparison Study of Handwritten Digit Recognition using Artificial Neural Network and Convolutional Neural Network: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp94-97, May - 2019, Available at : http://www.jetir.org/papers/JETIRCQ06017.pdf




Preview This Article


Downlaod

Click here for Article Preview