%0 Conference Proceedings
%T Penmanship Learning Support System: Feature Extraction for Online Handwritten Characters
%+ Kansai University Graduate School
%+ Kansai University
%A Yamaguchi, Tatsuya
%A Muranaka, Noriaki
%A Tokumaru, Masataka
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 9th International Conference on Entertainment Computing (ICEC)
%C Seoul, South Korea
%Y Hyun Seung Yang; Rainer Malaka; Junichi Hoshino; Jung Hyun Han
%I Springer
%3 Entertainment Computing - ICEC 2010
%V LNCS-6243
%P 496-498
%8 2010-09-08
%D 2010
%R 10.1007/978-3-642-15399-0_71
%K Penmanship
%K Evaluation of characters
%K Features
%K Turns
%Z Computer Science [cs]/Digital Libraries [cs.DL]Conference papers
%X This paper proposes a feature extraction method for online handwritten characters for a penmanship learning support system. This system has a database of model characters. It evaluates the characters a learner writes by comparing them with the model characters. However, if we prepare feature information for every character, information must be input every time a model character is added. Therefore, we propose a method of automatically extracting features from handwritten characters. In this paper, we examine whether it correctly identifies the turns in strokes as features. The resulting extraction rate is 80% and in the remaining 20% of cases, it extracted an area near a turn.
%G English
%2 https://inria.hal.science/hal-01055589/document
%2 https://inria.hal.science/hal-01055589/file/Feature_Extraction_for_Online_Handwritten_Characters.pdf
%L hal-01055589
%U https://inria.hal.science/hal-01055589
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-LNCS-6243
%~ IFIP-ICEC
%~ IFIP-2010