RECOGNITION OF ARABIC HANDWRITTEN CHARACTERS USING RESIDUAL NEURAL NETWORKS

RECOGNITION OF ARABIC HANDWRITTEN CHARACTERS USING RESIDUAL NEURAL NETWORKS

This study proposes the use of Residual Neural Networks (ResNets) to recognise Arabic offline isolated handwritten characters including Arabic digits. ResNets is a deep learning approach which showed effectiveness in many applications more than conventional machine learning approaches. The proposed...

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Bibliographic Details
Main Authors: Ahmad T. Al- Taani, Sadeem T. Ahmad
Format: Article
Language:English
Published: Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) 2021-06-01
Series:Jordanian Journal of Computers and Information Technology
Subjects:
residual network
deep learning
deep neural networks
arabic handwritten
characters recognition
Online Access:http://www.ejmanager.com/fulltextpdf.php?mno=62240

Internet

http://www.ejmanager.com/fulltextpdf.php?mno=62240

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