Journal of Software Engineering and Applications

Vol.6 No.10(2013), Paper ID 37465, 10 pages

DOI:10.4236/jsea.2013.610064

 

Tuning Recurrent Neural Networks for Recognizing Handwritten Arabic Words

 

Esam Qaralleh, Gheith Abandah, Fuad Jamour

 

Computer Engineering Department, Princess Sumaya University for Technology, Amman, Jordan
Computer Engineering Depart- ment, The University of Jordan, Amman, Jordan
Graduate Student, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

 

Copyright © 2013 Esam Qaralleh, Gheith Abandah, Fuad Jamour et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Qaralleh, E. , Abandah, G. and Jamour, F. (2013) Tuning Recurrent Neural Networks for Recognizing Handwritten Arabic Words. Journal of Software Engineering and Applications, 6, 533-542. doi: 10.4236/jsea.2013.610064.

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