Investigation on deep learning for off-line handwritten Arabic character recognition

Author:

Boufenar Chaouki,Kerboua Adlen,Batouche Mohamed

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Experimental and Cognitive Psychology,Software

Reference33 articles.

1. Abandah, G. A., Younis, K. S., & Khedher, M.Z. (2008). Handwritten arabic character recognition using multiple classifiers based on letter form. In Proceedings of the 5th IASTED international conference on Signal Processing, Pattern Recognition, and Applications (SPPRA’08) (pp. 128–133).

2. A very high accuracy handwritten character recognition system for farsi/arabic digits using convolutional neural networks;Ahranjany,2010

3. Handwriting arabic character recognition lenet using neural network;Al-Jawfi;The International Arab Journal of Information Technology,2009

4. Aljuaid, H., Mohamad, D., & Sarfraz, M. (2009). Arabic handwriting recognition using projection profile and genetic approach. In 2009 Fifth international conference on signal image technology and internet based systems. doi:https://doi.org/10.1109/SITIS.2009.29.

5. Offline handwritten arabic character recognition using features extracted from Curvelet and spatial domains;Bahashwan;Research Journal of Applied Sciences, Engineering and Technology,2015

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