On-Line Devanagari Handwritten Character Recognition Using Moments Features-Reference-Cited by-同舟云学术

On-Line Devanagari Handwritten Character Recognition Using Moments Features

Published:2019 Issue: Volume: Page:37-48
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Deore Shalaka Prasad,Pravin Albert

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-9187-3_4

Reference20 articles.

1. Shelke, S., Apte, S.: A fuzzy based classification scheme for unconstrained handwritten Devanagari character recognition. In: International Conference on Communication, Information and Computing Technology (ICCICT), pp. 1–6. IEEE Press, Mumbai (2015). https://doi.org/10.1109/ICCICT.2015.7045738

2. Wang, Y., Ding, X.: Topic language model adaption for recognition of homologous on-line handwritten Chinese text image. IEEE Signal Process. Lett. 21, 550–553 (2014). https://doi.org/10.1109/LSP.2014.2308572

3. Deore, S., Ragha, L.: Moment based online and online handwritten character recognition. CiiT Int. J. Biometrics Bioinf. 3, 111–115 (2011). BB032011004

4. Omer, M., Ma, S.: Online Arabic handwriting character recognition using matching algorithm. In: 2nd International Conference on Computer and Automation Engineering (ICCAE), pp. 259–262. IEEE Press, Singapore (2010) . https://doi.org/10.1109/ICCAE.2010.5451492

5. Prasad, J., Kulkarni, U., Prasad, R.: Offline handwritten character recognition of Gujarati script using pattern matching. In: 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, pp. 611–615, IEEE Press, Hong Kong (2009). https://doi.org/10.1109/ICASID.2009.5276999

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