Handwritten Bangla Character Recognition Using Convolutional Neural Network and Bidirectional Long Short-Term Memory
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-33-4673-4_8
Reference18 articles.
1. Ghosh, T., Abedin, M.M., Chowdhury, S.M., Yousuf, M.A.: A comprehensive review on recognition techniques for Bangla handwritten characters. In: 2019 International Conference on Bangla Speech and Language Processing (ICBSLP), pp. 1–6 (2019)
2. Sazal, M.M.R., Biswas, S.K., Amin, M.F., Murase, K.: Bangla handwritten character recognition using deep belief network. In: 2013 International Conference on Electrical Information and Communication Technology (EICT) (2014)
3. Akhand, M.A.H., Ahmed, M., Hafizur Rahman, M.M.: Multiple convolutional neural network training for bangla handwritten numeral recognition. In: 2016 International Conference on Computer and Communication Engineering (ICCCE), pp. 311–315 (2016)
4. Ahmed, M., Akhand, M.A.H., Hafizur Rahman, M.M.: Handwritten Bangla numeral recognition using deep long short term memory. In: 2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M), pp. 310–315 (2016)
5. Rahman, M.M., Islam, M.S., Sassi, R., Aktaruzzaman, M.: Convolutional neural networks performance comparison for handwritten Bengali numerals recognition. SN Appl. Sci. 1(12), 1660 (2019)
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