A Study of Representation Learning for Handwritten Numeral Recognition of Multilingual Data Set-Reference-Cited by-同舟云学术

A Study of Representation Learning for Handwritten Numeral Recognition of Multilingual Data Set

Published:2017-11-08 Issue: Volume: Page:475-482
ISSN:2367-3370
Container-title:Information and Communication Technology for Sustainable Development
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Author:

Thomas Solley

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-3920-1_48

Reference17 articles.

1. Ashwin S Ramteke, Milind E Rane: A Survey on Offline Recognition of Handwritten Devanagary Script. International Journal of Scientific and Engineering Research, May 2012.

2. Ahmad, Azad: Multi Script Handwritten Numeral Recognition using Neural Network Technique. Research Journal of Science, Engineering and Management, Vo. 1, April 2012.

3. Huang, B.Q.A: Hybrid HMM-SVM Method for Online Handwriting Symbol Recognition. IEEE- 6th International Conference on Intelligent Systems Design and Applications, Vol. 1, October 2006.

4. Deng, Li: Deep Learning: Methods and Applications. Foundations and Trends® in Signal Processing, Vol. 7, 2013.

5. Kongming Liang: Representation Learning with Smooth Auto encoder, Visual Information Processing and Learning, 2014.

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