Arabic Handwritten Recognition Using Deep Learning: A Survey
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-021-06363-3.pdf
Reference76 articles.
1. “Babbel Magazine.” https://www.babbel.com/en/magazine/ (accessed Mar. 09, 2021).
2. N. Altwaijry and I. Al-Turaiki, “Arabic handwriting recognition system using convolutional neural network,” Neural Comput. Appl., pp. 1–13, Jun. 2020, doi: https://doi.org/10.1007/s00521-020-05070-8.
3. Weldegebriel, H.T.; Liu, H.; Haq, A.U.; Bugingo, E.; Zhang, D.: A New Hybrid Convolutional Neural Network and eXtreme Gradient Boosting Classifier for Recognizing Handwritten Ethiopian Characters. IEEE Access 8, 17804–17818 (2020). https://doi.org/10.1109/ACCESS.2019.2960161
4. Albahli, Saleh, Marriam Nawaz, Ali Javed, and Aun Irtaza. "An improved faster-RCNN model for handwritten character recognition." Arabian Journal for Science and Engineering (2021): 1–15.
5. Boufenar, C.; Kerboua, A.; Batouche, M.: Investigation on deep learning for off-line handwritten Arabic character recognition. Cogn. Syst. Res. 50, 180–195 (Aug. 2018). https://doi.org/10.1016/j.cogsys.2017.11.002
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