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Paper Abstract and Keywords
Presentation 2018-02-16 11:30
A Study of Handwritten Chinese Character Recognition Method Based on Feature Points Extraction Using Small Scale Space
Masato Suzuki, Daisuke Kitakoshi (Tokyo Kosen) ITS2017-83 IE2017-115
Abstract (in Japanese) (See Japanese page) 
(in English) Recognition method using local feature extraction is one of the famous strategies to general object recognition. By considering the handwritten chinese characters in the picture as objects, it is possible to apply this algorithm to them. But in character recognition, it is difficult to extract an appropriate local features due to the variety of character shapes. In this report, in order to recognize the handwritten chinese characters in such a framework, we set an upper limit on the scale space for extracting characteristic feature points, and try to extract structure informations of the characters according to the feature extraction form small scale space. And we also suggest a matching method by dynamically changing the scale of characteristic feature points. In recognition experiments, it is found that we can extract the structure informations from about 80% of characters, and improve the recognition accuracy in comparison with the traditional algorithm regardless of the kind of the reference character pictures.
Keyword (in Japanese) (See Japanese page) 
(in English) Local Feature / Extraction of Character Structure / Small Scale Space / Handwritten Chinese Character Recognition / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 432, IE2017-115, pp. 257-260, Feb. 2018.
Paper # IE2017-115 
Date of Issue 2018-02-08 (ITS, IE) 
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 ITS2017-83 IE2017-115

Conference Information
Committee ITS IE ITE-MMS ITE-HI ITE-ME ITE-AIT  
Conference Date 2018-02-15 - 2018-02-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To IE 
Conference Code 2018-02-ITS-IE-MMS-HI-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Handwritten Chinese Character Recognition Method Based on Feature Points Extraction Using Small Scale Space 
Sub Title (in English)  
Keyword(1) Local Feature  
Keyword(2) Extraction of Character Structure  
Keyword(3) Small Scale Space  
Keyword(4) Handwritten Chinese Character Recognition  
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1st Author's Name Masato Suzuki  
1st Author's Affiliation National Institute of Technology, Tokyo College (Tokyo Kosen)
2nd Author's Name Daisuke Kitakoshi  
2nd Author's Affiliation National Institute of Technology, Tokyo College (Tokyo Kosen)
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Speaker Author-1 
Date Time 2018-02-16 11:30:00 
Presentation Time 15 minutes 
Registration for IE 
Paper # ITS2017-83, IE2017-115 
Volume (vol) vol.117 
Number (no) no.431(ITS), no.432(IE) 
Page pp.257-260 
#Pages
Date of Issue 2018-02-08 (ITS, IE) 


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