JCS Cover
Frequency: Monthly
ISSN: 1549-3636 (Print)
ISSN: 1552-6607 (Online)
Research Article Open Access

A New Data Base Scheme Arabic Handwriting Recognition by Hopfield Neural Networks Algorithm

Hasan M. Al Shalabi, Mowafak F. Hasan and Abbas M. Ali

Abstract

A new scheme for Arabic handwriting recognition by means of mat lab software is proposed. It can be seen as construction of neural networks that associate the hand writing Arabic text with the stored Arabic text in a specific data base are nearly equivalent. This result indicates that the new scheme have the potential to be robust in the presence of noisy data input.

Journal of Computer Science
Volume 1 No. 2, 2005, 204-206

DOI: https://doi.org/10.3844/jcssp.2005.204.206

Submitted On: 8 February 2006 Published On: 30 June 2005

How to Cite: Al Shalabi, H. M., Hasan, M. F. & Ali, A. M. (2005). A New Data Base Scheme Arabic Handwriting Recognition by Hopfield Neural Networks Algorithm. Journal of Computer Science, 1(2), 204-206. https://doi.org/10.3844/jcssp.2005.204.206

Open AccessCopyright: © 2005 Hasan M. Al Shalabi, Mowafak F. Hasan and Abbas M. Ali. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

  • 3,294 Views
  • 2,747 Downloads
  • 1 Citations

Download

Keywords

  • Hopfield
  • Neural Network
  • P.E.
  • Frames
  • Preprocessing
  • Database