Devanagari Handwritten Character Recognition Using Deep Learning and Neural Network
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4932-8_41
Reference8 articles.
1. Hirugade P, Suryavanshi N, Bhagwat R, Rajput S, Phadke R (2022) A survey on optical character recognition for handwritten Devanagari script using deep learning. In: Proceedings of the international conference on innovative computing & communication (ICICC), Available at SSRN: https://ssrn.com/abstract=4031738 or https://doi.org/10.2139/ssrn.4031738
2. Parthiban R, Ezhilarasi R, Saravanan D (2020) Optical character recognition for english handwritten text using recurrent neural network. In: 2020 international conference on system, computation, automation and networking (ICSCAN), Pondicherry, India, pp 1–5. https://doi.org/10.1109/ICSCAN49426.2020.9262379
3. Tabassum S et al (2021) Recognition of doctors’ cursive handwritten medical words by using bidirectional LSTM and SRP data augmentation. In: 2021 IEEE technology and engineering management conference—Europe (TEMSCON-EUR), Dubrovnik, Croatia, pp 1–6. https://doi.org/10.1109/TEMSCON-EUR52034.2021.9488622
4. Heo JH, Lee SW, Lee HW (2021) A comparative study on the perception performance of handwriting in Korean and English using machine learning. In: 2021 21st ACIS international winter conference on software engineering, artificial intelligence, networking and parallel/distributed computing (SNPD-Winter), Ho Chi Minh City, Vietnam, pp 274–275. https://doi.org/10.1109/SNPDWinter52325.2021.00070
5. Narayan A, Muthalagu R (2021) Image character recognition using convolutional neural networks. In: 2021 seventh international conference on bio signals, images, and instrumentation (ICBSII), Chennai, India, pp 1–5. https://doi.org/10.1109/ICBSII51839.2021.9445136
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