Data Augmentation using Geometric, Frequency, and Beta Modeling approaches for Improving Multi-lingual Online Handwriting Recognition

Author:

Hamdi YahiaORCID,Boubaker Houcine,Alimi Adel M.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Software

Reference50 articles.

1. Abdelaziz, I., Abdou, S.: “AltecOnDB: A Large-Vocabulary Arabic Online Handwriting Recognition Database”, arXiv preprint arXiv:1412.7626, (2014)

2. Alex K., Ilya S., Geoffrey, E.: Hinton. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems, pages 1097–1105, (2012)

3. Alimi, A. M.: An evolutionary neuro-fuzzy approach to recognize online Arabic handwriting, in: Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on, IEEE. pp. 382–386, (1997)

4. Al-Helali, B.M.: and Mahmoud. A survey. Submitted for publication, S. A., Arabic Online Text Recognition (AOTR) (2016)

5. Al-Helali, B.M., Mahmoud, S.A.: A statistical framework for online arabic character recognition. Cybern. Syst. 47(6), 478–498 (2016)

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