Implementation of Myanmar Handwritten Recognition

Author:

Win Hsu Yadanar,Wai Thinn Thinn

Publisher

Springer International Publishing

Reference9 articles.

1. Zaidan, A.A., Zaidan, B.B., Jalab, H.A., Alanazi, H.O., Alnaquib, R.: Offline Arabic handwriting recognition using artificial neural network. J. Comput. Sci. Eng. 1(1), 55–58 (2010)

2. Sawy, A.E., Loey, M., Bakry, H.E.: Arabic handwritten characters recognition using convolutional neural network. WSEAS Trans. Comput. Res. 5 (2017). E-ISSN: 2415–1521

3. Graves, A., Schmidhuber, J.: Offline handwriting recognition with multidimensional recurrent neural network. In: NIPS: Neural Information Processing Systems Conference (2008)

4. Balci, B., Saadati, D., Shiferaw, D.: Handwritten Text Recognition using Deep Learning, CS231n: Convolutional Neural Networks for Visual Recognition. Stanford University, Course Project Report (2017)

5. Alwzwazy, H.A., Albehadili, H.M., Alwan, Y.S., Islam, N.E.: Handwritten digit recognition using convolutional neural network. Int. J. Innov. Res. Comput. Commun. Eng. 4(2), 1101–1106 (2016)

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1. Text Line Segmentation on Myanmar Handwritten Documents Using Directional Gaussian Filter;2024 IEEE Conference on Computer Applications (ICCA);2024-03-16

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