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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| Format: | Thesis |
| Language: | English English English |
| Published: |
2022
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| Subjects: | |
| Online Access: | 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 http://eprints.uthm.edu.my/8412/ |
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http://eprints.uthm.edu.my/8412/1/24p%20EBRAHIM%20QASEM%20SALEH%20AL-WAJIH.pdfhttp://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
http://eprints.uthm.edu.my/8412/