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A Fuzzy Reasoning Technique for Pattern Recognition

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 49 - Number 12
Year of Publication: 2012
Authors: Ashoka H.n, Manjaiah D.h, Rabindranath Bera
10.5120/7679-0980

Ashoka H.n, Manjaiah D.h, Rabindranath Bera . A Fuzzy Reasoning Technique for Pattern Recognition. International Journal of Computer Applications. 49, 12 ( July 2012), 19-23. DOI=10.5120/7679-0980

@article{ 10.5120/7679-0980,
author = { Ashoka H.n, Manjaiah D.h, Rabindranath Bera },
title = { A Fuzzy Reasoning Technique for Pattern Recognition },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 12 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number12/7679-0980/ },
doi = { 10.5120/7679-0980 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:46:06.220513+05:30
%A Ashoka H.n
%A Manjaiah D.h
%A Rabindranath Bera
%T A Fuzzy Reasoning Technique for Pattern Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 12
%P 19-23
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a fuzzy reasoning technique for pattern classification. The binary image of a pattern is partitioned into number of overlapping and non-overlapping regions for feature extraction. A set of features extracted to represent the binary images are used in the classifier design. The knowledge base (KB) is build using the statistical information involved in the interclass region features. The unknown samples features are matched with KB and assigned a membership value by the fuzzy reasoning technique for their classification. On experimentation with the handwritten numeral data, found good classification and recognition rate.

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Index Terms

Computer Science
Information Sciences

Keywords

Feature extraction Knowledge base Fuzzy reasoning

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