Deep convolutional neural network for isolated Arabic handwritten character recognition: design, evaluation, and comparative study

Eyad Talal Attar

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DOI: 10.1038/s41598-025-26658-x
Published: 11
Container: Scientific Reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-26658-x,
  title = {Deep convolutional neural network for isolated Arabic handwritten character recognition: design, evaluation, and comparative study},
  author = {Eyad Talal Attar},
  year = {2025},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-26658-x},
  url = {https://doi.org/10.1038/s41598-025-26658-x}
}

RIS

TY  - JOUR
TI  - Deep convolutional neural network for isolated Arabic handwritten character recognition: design, evaluation, and comparative study
AU  - Eyad Talal Attar
PY  - 2025
JO  - Scientific Reports
DO  - 10.1038/s41598-025-26658-x
UR  - https://doi.org/10.1038/s41598-025-26658-x
ER  -

APA

Attar, E. T. (2025). Deep convolutional neural network for isolated Arabic handwritten character recognition: design, evaluation, and comparative study. Scientific Reports. https://doi.org/10.1038/s41598-025-26658-x

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doaj · retrieved 2026-09-26T07:11:41.482Z