Enhancement of ANN-Based Offline Hand Written Character Recognition Using Gradient and Geometric Feature Extraction Techniques-Reference-Cited by-同舟云学术

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Enhancement of ANN-Based Offline Hand Written Character Recognition Using Gradient and Geometric Feature Extraction Techniques

Published:2017 Issue: Volume: Page:145-151
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Joarder Y. A.,Barman Paresh Chandra,Islam Md Zahidul

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-58750-9_20

Reference7 articles.

1. Patel, C.I., Patel, R., Patel, P.: Handwritten character recognition using neural networks. Int. J. Sci. Eng. Res. 2(5), 1–6 (2011)

2. Lecture Notes in Computer Science;M Rani,2011

3. Aggarwal, A., Rani, R., Dhir, R.: Handwritten character recognition using gradient features. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 2(5), 234–240 (2012)

4. Prasad, K., Nigam, D.C., Lakhotiya, A., Umre, D.: Character recognition using Matlab’s neural toolbox. Int. J. u- and e- Serv. Sci. Technol. 6(1), 13–20 (2013)

5. Hanmandlu, M., Murali Mohan, K.R., Kumar, H.: Neural based handwritten character recognition. In: Proceeding of ICDAR 1999, Proceedings of 5th International Conference on Document Analysis and Recognition, p. 241 (1999)

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