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Paper Abstract and Keywords
Presentation 2016-06-13 10:00
Stroke-by-stroke Kanji Stroke Order Evaluation Using Shape Context Feature
Kazuhiro Mita, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2016-37 SP2016-3 WIT2016-3
Abstract (in Japanese) (See Japanese page) 
(in English) Learning of writing Kanji characters of Chinese origin is still one of the important subjects in elementary education. This paper presents stroke order evaluation methods for Kanji characters written on a tablet. So far several methods and systems have been proposed to learn how to write Kanji characters neatly with correct stroke order according to the government guidelines for education but the correctness of stroke order evaluation is still to be improved. Here, we propose methods employing shape context feature around each feature point. For extracting shape context feature, we consider not only a conventional method that extracts the distribution of feature points around a focused feature point in fan-shaped areas divided by concentric circles and several directional angles but also a method that extracts directional features around a focused feature point in square areas divided by horizontal and vertical grids. We also consider them with applying the Gauss function. We call this group of variations feature point distribution evaluation method. The methods can evaluate stroke order in real-time when a learner writes strokes one by one. Evaluation of the method shows the feature point evaluation method with square areas and the Gauss function correctly evaluates stroke order by 98.5% with the maximum time of 0.9 sec.
Keyword (in Japanese) (See Japanese page) 
(in English) Assisted Learning / Stroke Order Evaluation / Shape Context Feature / On-line handwritten character recognition / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 89, PRMU2016-37, pp. 13-18, June 2016.
Paper # PRMU2016-37 
Date of Issue 2016-06-06 (PRMU, SP, WIT) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF PRMU2016-37 SP2016-3 WIT2016-3

Conference Information
Committee PRMU SP WIT ASJ-H  
Conference Date 2016-06-13 - 2016-06-14 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2016-06-PRMU-SP-WIT-H 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Stroke-by-stroke Kanji Stroke Order Evaluation Using Shape Context Feature 
Sub Title (in English)  
Keyword(1) Assisted Learning  
Keyword(2) Stroke Order Evaluation  
Keyword(3) Shape Context Feature  
Keyword(4) On-line handwritten character recognition  
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1st Author's Name Kazuhiro Mita  
1st Author's Affiliation Tokyo University of Agriculture and Technology (Tokyo Univ. of Agri. & Tech.)
2nd Author's Name Masaki Nakagawa  
2nd Author's Affiliation Tokyo University of Agriculture and Technology (Tokyo Univ. of Agri. & Tech.)
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Speaker Author-1 
Date Time 2016-06-13 10:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2016-37, SP2016-3, WIT2016-3 
Volume (vol) vol.116 
Number (no) no.89(PRMU), no.90(SP), no.91(WIT) 
Page pp.13-18 
#Pages 6 
Date of Issue 2016-06-06 (PRMU, SP, WIT) 

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