Arabic digit recognition using robust deep convolution neural network

Recently, digit recognition becomes one of interest problems for many researchers. However, Arabic digits have lack for such research. In this work, we used a robust deep convolution neural network (DCNN) to evaluate our collected Arabic digit dataset. We introduce substantial changes to CNN models...

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Bibliographic Details
Published in:Journal of physics. Conference series 2020-05, Vol.1530 (1), p.12085
Main Authors: Mahdi Haref, Qasim, Srayyih Al-Maliki, Mohsin N., Mohammed Tuaama, Maytham, Albehadili, Hayder M.
Format: Article
Language:English
Subjects:
Arabic Digit Recognition
Artificial neural networks
Convolution Neural Network
Neural networks
Recognition
Robustness
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Summary:Recently, digit recognition becomes one of interest problems for many researchers. However, Arabic digits have lack for such research. In this work, we used a robust deep convolution neural network (DCNN) to evaluate our collected Arabic digit dataset. We introduce substantial changes to CNN models to achieve superior results to prior work. Extensive experimental results are contacted to show the robustness of proposed models. Our detector achieves best current state-of-the-art results.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1530/1/012085