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Recognition of Arabic Derived Handwritten Letters using a VGG-like Convolutional Neural Network.

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Bibliographic Details
Title: Recognition of Arabic Derived Handwritten Letters using a VGG-like Convolutional Neural Network.
Authors: El Atillah, Mouhssine1, m.elatillah@uiz.ac.ma
Source: Baghdad Science Journal; 2026, Vol. 23 Issue 3, p1084-1099, 16p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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  Data: Recognition of Arabic Derived Handwritten Letters using a VGG-like Convolutional Neural Network.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192800368
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.21123/2411-7986.5254
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 1084
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      – TitleFull: Recognition of Arabic Derived Handwritten Letters using a VGG-like Convolutional Neural Network.
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              M: 03
              Text: 2026
              Type: published
              Y: 2026
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              Value: 23
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