Abstract
This paper proposed the Modified Center Distance Feature (MCDF) and its different forms for Uyghur handwritten character recognition. By combination with some low dimensional features, MCDF gifted remarkable recognition accuracy of 87.6% for total Uyghur character forms. This result is higher than previous record by more than 11 points. Samples from 400 volunteers are used in experiments.
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Hamdulla, A., Simayi, W., Ibrayim, M., Tursun, D. (2014). MCDF Based On-Line Handwritten Character Recognition for Total Uyghur Character Forms. In: Li, S., Liu, C., Wang, Y. (eds) Pattern Recognition. CCPR 2014. Communications in Computer and Information Science, vol 484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45643-9_50
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DOI: https://doi.org/10.1007/978-3-662-45643-9_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45642-2
Online ISBN: 978-3-662-45643-9
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