Conditional deep convolutional generative adversarial networks for isolated handwritten Arabic character generation

Conditional deep convolutional generative adversarial networks for isolated handwritten Arabic character generation

Being the basis on which several languages of the world are built, the historical relevance of the basic Arabic characters cannot be overemphasized. Unique in its many similar characters which are only distinguishable by dots, Arabic character recognition and classification has witnessed notable inc...

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Bibliographic Details
Main Authors: Mustapha, Ismail B., Hasan, Shafaatunnur, Nabus, Hatem, Shamsuddin, Siti Mariyam
Format: Article
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/101038/1/ShafaatunnurHasan2022_ConditionalDeepConvolutionalGenerativeAdversarial.pdf
http://eprints.utm.my/id/eprint/101038/
http://dx.doi.org/10.1007/s13369-021-05796-0
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/id/eprint/101038/1/ShafaatunnurHasan2022_ConditionalDeepConvolutionalGenerativeAdversarial.pdf
http://eprints.utm.my/id/eprint/101038/
http://dx.doi.org/10.1007/s13369-021-05796-0

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