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

Hasan M. Al Shalabi; Mowafak F. Hasan; Abbas M. Ali

doi:10.3844/jcssp.2005.204.206

ISSN 1549-3636 (print)eISSN 1552-6607 (online) Open access

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Research Article · Free to read · Published 30 June 2005

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

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

Journal of Computer Science, Volume 1, Issue 2, pp. 204–206 · doi.org/10.3844/jcssp.2005.204.206

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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.

KeywordsHopfield Neural Network P.E.Frames Preprocessing Database

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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

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Issue: Volume 1, Issue 2
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