areeg94fahad / handwrittenarabic

Handwritten Arabic Digit Recognition using Convolutional Neural Networks (CNNs)

This work focuses on the implementation and evaluation of five classical Convolutional Neural Networks (CNN) for the task of recognizing handwritten Arabic digits.

The Dataset

The dataset utilized in this project can be accessed here: Handwritten Arabic Digits Dataset

PDF Version of the Paper

For an in-depth exploration of the methodology and results, you can view the PDF version of the paper:

Multi-CNN Voting Method for Improved Arabic Handwritten Digits Classification (PDF)

Citation

If you find this work beneficial for your research, please consider citing the paper:

@INPROCEEDINGS{10246065,
  author={Rasheed, Areeg Fahad and Zarkoosh, M. and Al-Azzawi, Sana Sabah},
  booktitle={2023 9th International Conference on Computer and Communication Engineering (ICCCE)},
  title={Multi-CNN Voting Method for Improved Arabic Handwritten Digits Classification},
  year={2023},
  volume={},
  number={},
  pages={205-210},
  doi={10.1109/ICCCE58854.2023.10246065}}