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Paper Abstract and Keywords
Presentation 2008-02-22 09:00
Online Handwritten Kanji String Recognition Based on Grammar Description of Character Structures
Ikumi Ota, Ryo Yamamoto, Takuya Nishimoto, Shigeki Sagayama (Univ. of Tokyo) PRMU2007-227
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we discuss a method for online handwritten Kanji character recognition by describing the structure of Kanji using Context-Free Grammar(CFG), and extend it in order to recognize Kanji character strings.
In this approach, we turn attention to the hierarchical structure of Kanji which consist of character-parts and strokes, and consider all character patterns to be generated from stochastic context-free grammar(SCFG). As we use both likelihoods of strokes and position relationship between character-parts in the process of parsing, it is expected that likelihoods of strokes and positions jointly improved the likelihood accuracy.
Using this method on Kanji strings enables the system to deal with both of the main problems together, namely, the decision of boundaries between letters and isolated Kanji character recognition process. Therefore the recognition error due to the failure of letter boundary decision can be compensated.
We evaluated the method using handwritten phrases consist of 2 or 3 Kanji characters contained in JAIST Online Handwriting Database, and gained the recognition rate of 90.80\% without using language models.
Keyword (in Japanese) (See Japanese page) 
(in English) Online Handwriting Recognition / Character String Recognition / Substroke HMM / Spatial Relationship of Subcharacters / Stochastic Context-Free Grammar / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 491, PRMU2007-227, pp. 75-80, Feb. 2008.
Paper # PRMU2007-227 
Date of Issue 2008-02-14 (PRMU) 
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)
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Conference Information
Committee PRMU  
Conference Date 2008-02-21 - 2008-02-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Univ. of Tsukuba 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2008-02-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Online Handwritten Kanji String Recognition Based on Grammar Description of Character Structures 
Sub Title (in English)  
Keyword(1) Online Handwriting Recognition  
Keyword(2) Character String Recognition  
Keyword(3) Substroke HMM  
Keyword(4) Spatial Relationship of Subcharacters  
Keyword(5) Stochastic Context-Free Grammar  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Ikumi Ota  
1st Author's Affiliation University of Tokyo (Univ. of Tokyo)
2nd Author's Name Ryo Yamamoto  
2nd Author's Affiliation University of Tokyo (Univ. of Tokyo)
3rd Author's Name Takuya Nishimoto  
3rd Author's Affiliation University of Tokyo (Univ. of Tokyo)
4th Author's Name Shigeki Sagayama  
4th Author's Affiliation University of Tokyo (Univ. of Tokyo)
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Speaker Author-1 
Date Time 2008-02-22 09:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2007-227 
Volume (vol) vol.107 
Number (no) no.491 
Page pp.75-80 
#Pages
Date of Issue 2008-02-14 (PRMU) 


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