Threshold center-symmetric local binary convolutional neural networks for bilingual handwritten digit recognition

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Threshold center-symmetric local binary convolutional neural networks for bilingual handwritten digit recognition

Arabic and English handwritten digit recognition is a challenging problem because the writing style differs from one writer to another. In middle east countries, many official forms are prepared to be written using either Arabic or English languages. However, some people fill the form using both...

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Bibliographic Details
Main Author:	Saleh Al-Wajih, Ebrahim Qasem
Format:	Thesis
Language:	English English English
Published:	2022
Subjects:	QA76 Computer software
Online Access:	http://eprints.uthm.edu.my/8412/ http://eprints.uthm.edu.my/8412/1/24p%20EBRAHIM%20QASEM%20SALEH%20AL-WAJIH.pdf http://eprints.uthm.edu.my/8412/2/EBRAHIM%20QASEM%20SALEH%20AL-WAJIH%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8412/3/EBRAHIM%20QASEM%20SALEH%20AL-WAJIH%20WATERMARK.pdf

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