Devanagari Handwritten Character Recognition Using Dynamic Routing Algorithm
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-29713-7_15
Reference40 articles.
1. S. Ahlawat and A. Choudhary (2020) Hybrid CNN-SVM Classifier for Handwritten Digit Recognition. Procedia Computer Science, 167, pp. 2554–2560. https://doi.org/10.1016/j.procs.2020.03.309.
2. V. T. Lanjewar and R. N. Khobragade (2021) Transfer learning using Pre-trained AlexNet for Marathi Handwritten Compound Character Image Classification. International Conference on Intelligent Technologies, CONIT 2021. https://doi.org/10.1109/CONIT51480.2021.9498418.
3. Y. Gurav, P. Bhagat, R. Jadhav, and S. Sinha (2020) Devanagari Handwritten Character Recognition using Convolutional Neural Networks. 2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020. https://doi.org/10.1109/ICECCE49384.2020.9179193.
4. Prashant Misal, Prof. A.J. Patankar and Dr. Nitika Singhi (2021), Handwritten Marathi Character recognition using Deep learning - Inpressco.
5. P. M. Kamble and R. S. Hegadi (2015) Handwritten Marathi Character Recognition Using R-HOG Feature," Procedia Computer Science, vol. 45, no. C, pp. 266–274. https://doi.org/10.1016/J.PROCS.2015.03.137.
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