Bengali Handwritten Character Classification Using Transfer Learning on Deep Convolutional Network-Reference-Cited by-同舟云学术

Bengali Handwritten Character Classification Using Transfer Learning on Deep Convolutional Network

Published:2020 Issue: Volume: Page:138-148
ISSN:0302-9743
Container-title:Intelligent Human Computer Interaction
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Author:

Chatterjee Swagato,Dutta Rwik Kumar,Ganguly Debayan,Chatterjee Kingshuk,Roy Sudipta

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-44689-5_13

Reference30 articles.

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2. Alom, M.Z., Sidike, P., Hasan, M., Taha, T.M., Asari, V.K.: Handwritten Bangla character recognition using the state-of-the-art deep convolutional neural networks. Comput. Intell. Neurosci. 2018, 1–13 (2018). https://www.hindawi.com/journals/cin/2018/6747098/

3. Lecture Notes in Computer Science;U Bhattacharya,2006

4. Biswas, M., et al.: BanglaLekha-Isolated: a multi-purpose comprehensive dataset of Handwritten Bangla Isolated characters. Data Brief 12, 103–107 (2017)

5. Ciresan, D.: Multi-Column Deep Neural Networks for Offline Handwritten Chinese Character Classification, pp. 1–6. IEEE, Killarney (2015). http://ieeexplore.ieee.org/document/7280516/

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