New MDLSTM-based designs with data augmentation for offline Arabic handwriting recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-12339-8.pdf
Reference45 articles.
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2. Altwaijry N, Al-Turaiki I (2021) Arabic handwriting recognition system using convolutional neural network. Neural Comput Appl 33:2249–2261. https://doi.org/10.1007/s00521-020-05070-8
3. Amrouch M, Rabi M (2017) Deep Neural Networks features for Arabic Handwriting Recognition. In: International Conference on Advanced Information Technology, Services and Systems. Springer, Berlin, pp 138–149
4. Amrouch M, Rabi M, Es-Saady Y (2018) Convolutional Feature Learning and CNN Based HMM for Arabic Handwriting Recognition. In: International conference on image and signal processing. Springer, Cham, p 265-274
5. Bluche T, Louradour JJ, Messina R (2017) Scan, attend and read: End-to-end handwritten paragraph recognition with mdlstm attention. In: 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). IEEE, pp 1050–1055
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