Arabic Handwritten Character Recognition Based on Convolution Neural Networks
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-16210-7_23
Reference23 articles.
1. Bellagha, M.L., Zrigui, M.: Using the MGB-2 challenge data for creating a new multimodal Dataset for speaker role recognition in Arabic TV broadcasts. KES Procedia Comput. Sci. 192, 59–68 (2021)
2. Mahmoud, A., Zrigui, M.: Distributional semantic model based on convolutional neural network for Arabic textual similarity. Int. J. Cogn. Inform. Nat. Intell. 14(1), 35–50 (2020)
3. Meddeb, O., Maraoui, M., Zrigui, M.: Deep learning based semantic approach for Arabic textual documents recommendation. In: 2021 International Conference on Innovations in Intelligent Systems and Applications (INISTA), pp. 1–6 (2021)
4. AlKhateeb, J.H., Ren, J., Jiang, J., Al-Muhtaseb, H.: Offline handwritten Arabic cursive text recognition using hidden Markov models and re-ranking. Pattern Recogn. Lett. 32, 1081–1088 (2011)
5. AlKhateeb, J.H., Pauplin, O., Ren, J., Jiang, J.: Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition. Knowl.-Based Syst. 24, 680–688 (2011)
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1. CNN-based Methods for Offline Arabic Handwriting Recognition: A Review;Neural Processing Letters;2024-03-19
2. Isolated Handwritten Arabic Character Recognition Using Convolutional Neural Networks: An Overview;Lecture Notes in Networks and Systems;2024
3. Recognition of Arabic Air-Written Letters: Machine Learning, Convolutional Neural Networks, and Optical Character Recognition (OCR) Techniques;Sensors;2023-11-28
4. Deep Learning-Based Child Handwritten Arabic Character Recognition and Handwriting Discrimination;Sensors;2023-07-28
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