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Assamese Digit Recognition with Feed Forward Neural Network

by Kalyanbrat Medhi, Sanjib Kr. Kalita
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 1
Year of Publication: 2015
Authors: Kalyanbrat Medhi, Sanjib Kr. Kalita
10.5120/19154-0587

Kalyanbrat Medhi, Sanjib Kr. Kalita . Assamese Digit Recognition with Feed Forward Neural Network. International Journal of Computer Applications. 109, 1 ( January 2015), 34-40. DOI=10.5120/19154-0587

@article{ 10.5120/19154-0587,
author = { Kalyanbrat Medhi, Sanjib Kr. Kalita },
title = { Assamese Digit Recognition with Feed Forward Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 1 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 34-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number1/19154-0587/ },
doi = { 10.5120/19154-0587 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:43:41.331857+05:30
%A Kalyanbrat Medhi
%A Sanjib Kr. Kalita
%T Assamese Digit Recognition with Feed Forward Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 1
%P 34-40
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The aim of this paper is to design a recognizer to recognize Assamese digits using feed forward neural network. The recognizer crops the individual digits of the image using bounding box method and extracts the feature. In the present study zoning is used to obtain necessary feature vector. This feature is provided as input to the classifier and the network is trained with backpropagation training algorithm with two hidden layer. The recognition rate of printed digits is 98%, including multi size, bold and italics fonts. In case of handwritten digits recognition rate is 70. 6%.

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Index Terms

Computer Science
Information Sciences

Keywords

Assamese digits Recognition Feed Forward Neural Network Zoning Back Propagation

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