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Optical Character Recognition based on Genetic Algorithms and Machine Learning

by Arafat A. Muharram, Khaled M. G. Noaman, Ibrahim Abdulrab Ahmed, Jamil A. M. Saif
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 172 - Number 2
Year of Publication: 2017
Authors: Arafat A. Muharram, Khaled M. G. Noaman, Ibrahim Abdulrab Ahmed, Jamil A. M. Saif
10.5120/ijca2017915077

Arafat A. Muharram, Khaled M. G. Noaman, Ibrahim Abdulrab Ahmed, Jamil A. M. Saif . Optical Character Recognition based on Genetic Algorithms and Machine Learning. International Journal of Computer Applications. 172, 2 ( Aug 2017), 33-36. DOI=10.5120/ijca2017915077

@article{ 10.5120/ijca2017915077,
author = { Arafat A. Muharram, Khaled M. G. Noaman, Ibrahim Abdulrab Ahmed, Jamil A. M. Saif },
title = { Optical Character Recognition based on Genetic Algorithms and Machine Learning },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2017 },
volume = { 172 },
number = { 2 },
month = { Aug },
year = { 2017 },
issn = { 0975-8887 },
pages = { 33-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume172/number2/28225-2017915077/ },
doi = { 10.5120/ijca2017915077 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:19:16.615508+05:30
%A Arafat A. Muharram
%A Khaled M. G. Noaman
%A Ibrahim Abdulrab Ahmed
%A Jamil A. M. Saif
%T Optical Character Recognition based on Genetic Algorithms and Machine Learning
%J International Journal of Computer Applications
%@ 0975-8887
%V 172
%N 2
%P 33-36
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Pattern recognition is known to be one of the earliest applications of image processing. Genetic algorithm and Machine Learning have been used in this study to recognize English alphabets which are represented as matrix one and two dimensions. Genetic algorithm and machine learning were used in this paper to compare their efficiency and accuracy regarding concrete conditions, testing and evaluation results, it has ben got 95% for Genetic Algorithms and 94% for Machine Learning.

References
  1. Alpaydin Ethem, Introduction to Machin Learning , ,Istanbul,2014
  2. Chong E.K.P., Zak S.H., An introduction to optimization ,New York,1996
  3. Christopher M. Bishop, Pattern Recognition and Machin Learning , ,U.K,2012
  4. Cosmin Grigorescu, Student Member, IEEE, and Nicolai Petkov: Distance Sets for Shape Filters and Shape Recognition, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 12, NO. 10, OCTOBER 2003
  5. George F.Luger Artificial Intelligence :Structure and Strategies for Complex Problem Solving, Fourth Edition .India, 2002
  6. Glodberg David E. ,Genetic Algorithms in search optimization and Machin Learning, Addison –wesely publishing company, 2006
  7. Gunnar Ratsch, A Brief Introduction into Machine Learning, Friedrich Miescher Laboratory of the Max Planck Society , Germany, www.ccc.de/congress/fahrplan/files, 2004
  8. Haupt R.L., Haupt S.E. ,Practical Genetic Algorithms, New York , 2004
  9. Kenneth A. De Jong William M. Spears, Learning Concept Classification Rules Using Genetic Algorithms, USA
  10. Michalewicz Z., Genetic Algorithms +data structure=evolution programs, New York,1996
  11. Optical Character Recognition, RavinaMithe,SupriyaIndalkar, NilamDivekar,International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-2, Issue-1, March 2013
  12. Russ, J.C., The Image Processing Handbook., Boca Raton, Florida: CRC, Second ed. 1995
  13. Sivanandam S.N, Deepa S.N., introduction to genetic algorithms ,2007,New York
  14. TOM M. MITCHELL, Machine Learning ,McGraw-Hill, USA,1997
Index Terms

Computer Science
Information Sciences

Keywords

Genetic Algorithms character recognition machine learning.

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