An Unconstrained and Effective Approach of Script Identification for Online Bilingual Handwritten Text
Author:
Publisher
Springer Science and Business Media LLC
Subject
Engineering (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1007/s40009-020-00889-0.pdf
Reference18 articles.
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2. Kumar M, Sharma RK, Jindal MK (2014) Efficient feature extraction techniques for offline handwritten Gurmukhi character recognition. Natl Acad Sci Lett 37:381–391. https://doi.org/10.1007/s40009-014-0253-4
3. Capin T, Pulli K (2010) The state of the art in visualizing dynamic graphs. IEEE Comput Graph Appl 35:23–24. https://doi.org/10.2312/eurovisstar.20141174
4. Connelly V, Gee D, Walsh E (2007) A comparison of keyboarded and handwritten compositions and the relationship with transcription speed. Br J Educ Psychol 77:479–492. https://doi.org/10.1348/000709906X116768
5. Urala KB, Ramakrishnan AG, Mohamed S (2014) Recognition of open vocabulary, online handwritten pages in Tamil script. In: 2014 International conference on signal processing and communications SPCOM 2014. https://doi.org/10.1109/spcom.2014.6984002
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