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http://dx.doi.org/10.3745/KIPSTD.2005.12D.1.159

Language Learning System Evaluating the Quality of a Handwriting String  

Kim Gye-Young (숭실대학교 컴퓨터학부)
Abstract
In a computing environment connected pan-based computers and a server by Internet, This paper describes a language learning system evaluating the quality of a handwriting string. For the purpose of the system, this paper explains how to retrieve reference data from a database, how to evaluate the quality of a handwriting string using global and local features. The Proposed system can evaluate the qualify of a handwriting string as well as a handwriting character. The qualify can be computed in the case of different language between reference and input. Therefore, we expect that the system is very useful not only for training on handwriting but also learning a language.
Keywords
Language Education; Penmanship; Handwriting Evaluation; Artificial Neural Network; Dynamic Time Warping;
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