Classification of Bangla Compound Characters Using a HOG-CNN Hybrid Model-Reference-Cited by-同舟云学术

Classification of Bangla Compound Characters Using a HOG-CNN Hybrid Model

Published:2018 Issue: Volume: Page:403-411
ISSN:2367-3370
Container-title:Proceedings of the International Conference on Computing and Communication Systems
language:
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Author:

Sharif S. M. A.,Mohammed Nabeel,Momen Sifat,Mansoor Nafees

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-6890-4_39

Reference13 articles.

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3. Das, N., Acharya, K., Sarkar, R., Basu, S., Kundu, M., Nasipuri, M.: A novel ga-svm based multistage approach for recognition of handwritten bangla compound characters. In: Proceedings of the International Conference on Information Systems Design and Intelligent Applications 2012 (INDIA 2012) held in Visakhapatnam, India, January 2012. pp. 145–152. Springer (2012)

4. Das, N., Acharya, K., Sarkar, R., Basu, S., Kundu, M., Nasipuri, M.: A benchmark image database of isolated bangla handwritten compound characters. International Journal on Document Analysis and Recognition (IJDAR) 17(4), 413–431 (2014)

5. Das, N., Basu, S., Sarkar, R., Kundu, M., Nasipuri, M., Basu, D.: Handwritten bangla compound character recognition: Potential challenges and probable solution. In: IICAI. pp. 1901–1913 (2009)

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