Research Article
Neural Networks and Machine Learning for Pattern Recognition
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 122 - Issue 12 |
| Published: July 2015 |
| Authors: Arafat A. Muharram, Khaled M. G. Noaman, Ibrahim A.A. Alqubati |
10.5120/21753-5038
|
Arafat A. Muharram, Khaled M. G. Noaman, Ibrahim A.A. Alqubati . Neural Networks and Machine Learning for Pattern Recognition. International Journal of Computer Applications. 122, 12 (July 2015), 29-32. DOI=10.5120/21753-5038
@article{ 10.5120/21753-5038,
author = { Arafat A. Muharram,Khaled M. G. Noaman,Ibrahim A.A. Alqubati },
title = { Neural Networks and Machine Learning for Pattern Recognition },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 122 },
number = { 12 },
pages = { 29-32 },
doi = { 10.5120/21753-5038 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Arafat A. Muharram
%A Khaled M. G. Noaman
%A Ibrahim A.A. Alqubati
%T Neural Networks and Machine Learning for Pattern Recognition%T
%J International Journal of Computer Applications
%V 122
%N 12
%P 29-32
%R 10.5120/21753-5038
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper represents an application study for using the Neural Networks and Machine Learning to recognize the English alphabet (A-Z) through the use of pattern recognition techniques in image processing and specifically to the application of Neural Networks and machine learning as a matrix two dimension. We used two techniques ANN and ML to compare their efficiencies and accuracies. We got 86. 92% for ANN and 91. 2% for ML.
References
- Anil K. Jain, Fundamentals of Digital image Processing, Prentice Hall, USA,1989.
- 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
- Dorst, L. and A. W. M. Smeulders, Length estimators compared, in Pattern Recognition in Practice II, E. S. Gelsema and L. N. Kanal, Editors. 1986, Elsevier Science: Amsterdam. p. 73-80.
- Gunnar Ratsch, A Brief Introduction into Machine Learning, Friedrich Miescher Laboratory of the Max Planck Society , Germany, www. ccc. de/congress/2004/fahrplan/files
- Hirose,Y . ,Back Propagation Algorithm which Variesthe Number of HiddenUnits, NeuralNetworks, Vol. 4,pp. 61-66,1991.
- Huang, T. S. , G. J. Yang, and G. Y. Tang, A Fast Two-Dimensional Median Filtering Algorithm. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1979. ASSP-27: p. 13-18.
- JACKY HERZ and ROGER D. HERSCH: Analyzing character shapes by string matching techniques, Electronic Publishing, VOL. 6(3), 261–272 (SEPTEMBER 1993)
- Mickey Williams, David Bennett, et al. , Visual C++6 Copyright 2000 by sams publishing, USA.
- . Pavis Chapman, teach yourself Visual C++6 in 21 days. 2000 ,New Delhi
- R. Schalkoff ,Artificial Neural Networks, McGraw-Hill,1999.
- Russ, J. C. , The Image Processing Handbook. Second ed. 1995, Boca Raton, Florida: CRC .
- TOM M. MITCHELL, Machine Learning ,McGraw-Hill, USA,1997
- WhiteH,ArtificialNeuralNetworks:ApproximationandLearningTheory,Blackwell,1992.
Index Terms
Keywords