Recognition of Tamil handwritten text from a digital writing pad using MWDCNN
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/s11042-023-16878-6.pdf
Reference20 articles.
1. Ali AAA, Mallaiah S (2022) Intelligent handwritten recognition using hybrid CNN architectures based-SVM classifier with dropout. Journal of King Saud University-Computer and Information Sciences 34(6):3294–3300
2. de Sousa Neto AF, Bezerra BLD, Toselli AH, Lima EB (2022) A robust handwritten recognition system for learning different data restriction scenarios. Pattern Recognition Letters 159:232–238
3. Azimi H, Chang S, Gold J, Karabina K (2022) Improving Accuracy and Explainability of Online Handwriting Recognition. arXiv preprint arXiv:2209.09102
4. Jemni SK, Ammar S, Kessentini Y (2022) Domain and writer adaptation of offline Arabic handwriting recognition using deep neural networks. Neural Computing and Applications 34(3):2055–2071
5. ul Sehr Zia N, Naeem MF, Raza SMK, Khan MM, Ul-Hasan A, Shafait F (2022) A convolutional recursive deep architecture for unconstrained Urdu handwriting recognition. Neural Computing and Applications, pp. 1-14
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