CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

A Fuzzy Reasoning Technique for Pattern Recognition

by Ashoka H.n, Manjaiah D.h, Rabindranath Bera
journal cover thumbnail

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.

References
  1. Anil K. Jain, Robert P. W. Duin, and Jianchang Mao, "Statistical Pattern Recognition: A Review" IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No. 1, pp 4-37, January 2000.
  2. Hiromichi Fujisawa, "Forty years of research in character and document recognition - an industrial perspective" Pattern Recognition, Vol. 41, pp. 2435 – 2446, 2008.
  3. Nafiz Arica, Fatos T. Yarman-Vural, "An Overview of Character Recognition Focused on Off-line Handwriting", IEEE Transactions on system Man. Cybernetics-Part C: Applications and Reviews, Vol. 31 no. 2, pp. 216-233, May 2001.
  4. Umapada Pala, Partha Pratim Royb, Nilamadhaba Tripathya and Josep Lladósb, "Multi-oriented Bangla and Devnagari text recognition", Pattern Recognition, Vol. 43, No. 12, 2010, pp 4124-4136.
  5. Hanmandlu M. , and Murthy O. V. R. , "Fuzzy model based recognition of handwritten numerals," Pattern Recognition, Vol. 40, 2007, pp 1840 – 1854.
  6. Rajashekararadhya S. V. and Vanaja Ranjan P. , "Efficient zone based feature extraction algorithm for handwritten numeral recognition of four popular south Indian scripts", Journal of Theoretical and Applied Information Technology, 2005, pp 1171- 1181.
  7. Xuewen Wang, Xiaoqing Ding, Changsong Liu, "Gabor filters-based feature extraction for character recognition", Pattern Recognition, vol. 38, 2005,pp 369 – 379.
  8. Benne R. G. , Dhandra B. V. and Mallikarjun Hangarge, "Tri-scripts handwritten numeral recognition: a novel approach" Advances in Computational Research, ISSN:0975–3273, Vol. 1, Issue 2, 2009, pp-47-51.
  9. Enwang Zhou, Alireza Khotanz, "Fuzzy classifier design using genetic algorithms" Pattern Recognition Vol. 40, 2007, pp 3401 – 3414,
  10. Yi-Chung Hu, "Fuzzy integral-based perceptron for two-class pattern classification problems", Information Sciences, Vol. 177, 2007, pp1673–1686.
  11. José Vélez, Ángel Sánchez, Belén Moreno, José L. Esteban, "Fuzzy shape-memory snakes for the automatic off-line signature verification problem" , Fuzzy Sets and Systems Vol. 160, 2009, pp182 – 197.
  12. Ashoka H. N. , Manjaiah D. H. , Rabindranath Bera, "Feature Extraction Technique for Neural Network Based Pattern Recognition," International Journal on Computer Science and Engineering, Vol. 4 No. 03, March 2012, pp 331-339.
Index Terms

Computer Science
Information Sciences

Keywords

Feature extraction Knowledge base Fuzzy reasoning

Powered by PhDFocusTM