Kim Gye-Young, Journal of Internet Computing and Services, Vol. 5, No. 6, pp. 121-0, Dec. 2004
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Keywords: Language education, Penmanship, Handwriting evaluation, Artificial neural network, Dynamic time warping

Abstract

This paper proposes a quality evaluation system of a handwriting string written by electronic pen. For the purpose of the system, this paper describes how to retrieve reference data from a database, how to evaluate the quality of a handwiting string using global and local features. Also, it explains how to optionally recognize a grade of a handwriting string at using global and how to diagnose stroke order at using local. The quality can be evaluated in the case of different language between reference and input by the system. Therefore, we expect that the system is very useful not only for training on handwriting but also for learning a language.

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