An approach based on classifier combination for online handwritten text and non-text classification in Devanagari script
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s12046-019-1159-0.pdf
Reference19 articles.
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3. Van Phan T and Nakagawa M 2014 Text/non-text classification in online handwritten documents with recurrent neural networks. In: Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, Heraklion, Greece. IEEE Press, pp. 23–28
4. Zhou X D and Liu C L 2007 Text/non-text ink stroke classification in Japanese handwriting based on Markov random fields. In: Proceedings of the 9th International Conference on Document Analysis and Recognition, Parana, Brazil. IEEE Press, pp. 377–381
5. Zhou X D, Wang D H and Liu C 2009 A robust approach to text line grouping in online handwritten Japanese documents. Pattern Recognit. 42(9): 2077–2088
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