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Kannada Handwritten Numeral Recognition System using Fuzzy Reasoning Technique

by Ashoka H N, Manjaiah D H, Rabindranath Bera
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 8
Year of Publication: 2013
Authors: Ashoka H N, Manjaiah D H, Rabindranath Bera
10.5120/12765-9745

Ashoka H N, Manjaiah D H, Rabindranath Bera . Kannada Handwritten Numeral Recognition System using Fuzzy Reasoning Technique. International Journal of Computer Applications. 73, 8 ( July 2013), 40-43. DOI=10.5120/12765-9745

@article{ 10.5120/12765-9745,
author = { Ashoka H N, Manjaiah D H, Rabindranath Bera },
title = { Kannada Handwritten Numeral Recognition System using Fuzzy Reasoning Technique },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 8 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 40-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number8/12765-9745/ },
doi = { 10.5120/12765-9745 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:39:34.856434+05:30
%A Ashoka H N
%A Manjaiah D H
%A Rabindranath Bera
%T Kannada Handwritten Numeral Recognition System using Fuzzy Reasoning Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 8
%P 40-43
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents Kannada handwritten numeral recognition system using fuzzy reasoning technique. The Kannada handwritten numeral database required for the experimentation is collected from the different individuals and preprocessed to obtain the binary images for feature extraction. The binary images are partitioned into a number of regions and extracted one feature from each by the zoning technique for their representation. The knowledge base is build using the statistical information involved in interclass region features. The features of unknown samples matched with the knowledge base and made the fuzzy reasoning for their classification. On experimentation with the training and testing samples, found better classification and recognition rate.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy reasoning Kannada numeral database knowledge base

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