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Article:Recognition of Isolated Handwritten Characters of Gurumukhi Script using Neocognitron

by Dharamveer Sharma, Ubeeka Jain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 8
Year of Publication: 2010
Authors: Dharamveer Sharma, Ubeeka Jain
10.5120/1503-2021

Dharamveer Sharma, Ubeeka Jain . Article:Recognition of Isolated Handwritten Characters of Gurumukhi Script using Neocognitron. International Journal of Computer Applications. 10, 8 ( November 2010), 10-16. DOI=10.5120/1503-2021

@article{ 10.5120/1503-2021,
author = { Dharamveer Sharma, Ubeeka Jain },
title = { Article:Recognition of Isolated Handwritten Characters of Gurumukhi Script using Neocognitron },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 10 },
number = { 8 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 10-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume10/number8/1503-2021/ },
doi = { 10.5120/1503-2021 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:59:10.377788+05:30
%A Dharamveer Sharma
%A Ubeeka Jain
%T Article:Recognition of Isolated Handwritten Characters of Gurumukhi Script using Neocognitron
%J International Journal of Computer Applications
%@ 0975-8887
%V 10
%N 8
%P 10-16
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents the development of Gurumukhi character recognition system of isolated handwritten characters by using Neocognitron at the first time. Well- known neocognitron artificial neural network is chosen for its fast processing time and its good performance for pattern recognition problems. Here we have found the recognition accuracy of both learned and unlearned images of characters. Learned images have recognition accuracy as 91.77 % and unlearned images have recognition accuracy as 93.79 %. The overall recognition accuracy for both learned and unlearned Gurmukhi characters are 92.78 %. This confirms that the proposed neocognitron artificial neural network approach is suitable for the development of isolated handwritten characters of Gurumukhi script.

References
  1. K. Fukushima, “Neural Network Model for a mechanism of pattern recognition unaffected by shift in position-Neocognitron”, IECE Japan, Vol.62-A, No.10, pp. 658-665, April 1979.
  2. K. Fukushima, S. Miyake, and T. Ito, "Neocognitron: a neural network model for a mechanism of pattern recognition", IEEE Transactions on Systems, Man, and Cybernetics, Vol.65-C, No. 7, pp. 71 – 84, March 1987.
  3. K. Fukushima, "A neural network model for selective attention in visual Pattern recognition", BioZogica, Z Cybernetics, Vol. 55-1, No. 5, pp. 5-15, May 1986.
  4. K. Fukushima, "Neocognitron: A hierarchical neural network capable of visual pattern recognition", Neural Networks, Vol.1, No. 7, pp. 119-130, June 1988.
  5. B. Widrow, "Neural Networks for Adaptive Filtering and Adaptive Pattern Recognition ", IEEE Computer, Vol. 30-D, No.7, pp. 25 - 39, March 1988.
  6. G. A. Carpenter and S.Gross berg, "A massively parallel architecture for a self-organizing neural pattern recognition machine", Computer vision, Graphics, and image processing, Vol. 20-C, No.3, pp. 15 – 25, March, 1988.
  7. G. A. Carpenter and Stephen Gross berg, "ART 2: self-organization of Stable category recognition codes for analog input patterns", AppZied Optics, Vol. 26, No. 23, pp. 4919 - 4930, December 1987.
  8. C. Vonder Malsburg, "Self-organization of orientation sensitive cells in the striate cortex", Kybemetik, Vol. 14, pp. 85-100, March 1973.
  9. M. M. Menon and K. G. Heinemann, "Classification of patterns using a Self -organizing neural network". Neural Networks, Vol. 1, pp 201-215, June 1988.
  10. Hubel and Wiesel, “Shape and arrangement of columns in the cat’s striate cortex”, Journal of Physiology, Vol.165, pp.559-567, April 1963.
  11. V. K. Govindan and A. P. Shivaprasad, "Character recognition - a survey", Pattern Recognition, Vol. 10 pp. 67-73, July 1990.
  12. R. P. Lippman, "An introduction to computing with neural networks", IEEE Transaction on Neural Network, Vol. 3, pp. 4-22, April 1987.
  13. R. P. Lippman, "Pattern classification using neural networks", IEEE Communication Magazine, Vol. 12, pp. 4744, November 1989.
  14. K. Fukushima, "Cognition: a self-organizing multi-layered neural network model", Biological Cyber, Vol. 20, pp. 121-136, December 1975.
  15. K. Fukushima and S. Miyake, "Neocognitron: a new algorithm for pattern recognition tolerant of deformations and shifts in position", Pattern Recognition., Vol.15-6, pp. 455-469, March1982.
Index Terms

Computer Science
Information Sciences

Keywords

OCR Gurmukhi Script Neocognitron isolated handwritten character recognition

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