Handwritten Bangla numeral recognition using convolutional neural networks
Paul, Jaya and Sarkar, Anasua LU
(2018)
2nd International Conference on Electronics, Materials Engineering and Nano-Technology, IEMENTech 2018
- Abstract
Handwritten Bangla numeral recognition has been studied broadly in the last century. This is a very interest subject among the experimenters because of the progression of various pattern recognition algorithms. In this paper, we compare the results of most widely used machine learning method Like Multi Layer Percepton (MLP) and deep learning method like multilayer Convolutional Neural Network (CNN) to get the accuracy of 99.2% using CNN as compared to 97.97% using MLP on Bangla numeral image database named Halder et al.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/75b24c54-2b97-4a7c-8756-4457840dd67a
- author
- Paul, Jaya
and Sarkar, Anasua
LU
- publishing date
- 2018-09-13
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2018 2nd International Conference on Electronics, Materials Engineering and Nano-Technology, IEMENTech 2018
- editor
- Sarkar, Mili ; Chakrabarty, Ratna ; Taki, G. S. and Chakrabarti, Satyajit
- article number
- 8465296
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2nd International Conference on Electronics, Materials Engineering and Nano-Technology, IEMENTech 2018
- conference location
- Science City, Kolkata, India
- conference dates
- 2018-04-04 - 2018-04-05
- external identifiers
-
- scopus:85054530626
- ISBN
- 9781538655498
- DOI
- 10.1109/IEMENTECH.2018.8465296
- language
- English
- LU publication?
- no
- id
- 75b24c54-2b97-4a7c-8756-4457840dd67a
- date added to LUP
- 2019-04-02 09:43:21
- date last changed
- 2022-01-31 18:36:10
@inproceedings{75b24c54-2b97-4a7c-8756-4457840dd67a,
abstract = {{<p>Handwritten Bangla numeral recognition has been studied broadly in the last century. This is a very interest subject among the experimenters because of the progression of various pattern recognition algorithms. In this paper, we compare the results of most widely used machine learning method Like Multi Layer Percepton (MLP) and deep learning method like multilayer Convolutional Neural Network (CNN) to get the accuracy of 99.2% using CNN as compared to 97.97% using MLP on Bangla numeral image database named Halder et al.</p>}},
author = {{Paul, Jaya and Sarkar, Anasua}},
booktitle = {{2018 2nd International Conference on Electronics, Materials Engineering and Nano-Technology, IEMENTech 2018}},
editor = {{Sarkar, Mili and Chakrabarty, Ratna and Taki, G. S. and Chakrabarti, Satyajit}},
isbn = {{9781538655498}},
language = {{eng}},
month = {{09}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Handwritten Bangla numeral recognition using convolutional neural networks}},
url = {{http://dx.doi.org/10.1109/IEMENTECH.2018.8465296}},
doi = {{10.1109/IEMENTECH.2018.8465296}},
year = {{2018}},
}