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Paper Abstract and Keywords
Presentation 2011-01-21 09:00
Trie-Lexicon-Driven On-line Handwritten Japanese Address Phrase Recognition
Gaku Kawasaki, Bilan Zhu, Masaki Nakagawa (TUAT) PRMU2010-174 MVE2010-99
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes a trie-lexicon-driven method for online handwritten Japanese address phrase recognition. We built a trie lexicon from a database of the Japanese addresses. This method restricts the character categories of recognizing each character candidate pattern from the trie lexicon of addresses during path search in the segmentation candidate lattice for an input handwritten address phrase, and selects an optimal address phrase as recognition result. For search strategies in the segmentation candidate lattice we compare the character-synchronous beam search method with a simple search method. Moreover, we present an effective method that applies different thresholds with different levels to re-recognize address patterns and improves recognition speed largely. The experimental results demonstrate the effectiveness of our proposed method, which improves the character recognition rate and the recognition speed.
Keyword (in Japanese) (See Japanese page) 
(in English) On-line recognition / Handwriting recognition / Address recognition / Context dictionary / Trie-Lexicon / Beam search / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 381, PRMU2010-174, pp. 205-210, Jan. 2011.
Paper # PRMU2010-174 
Date of Issue 2011-01-13 (PRMU, MVE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 MVE IPSJ-CVIM  
Conference Date 2011-01-20 - 2011-01-21 
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 2011-01-PRMU-MVE-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Trie-Lexicon-Driven On-line Handwritten Japanese Address Phrase Recognition 
Sub Title (in English)  
Keyword(1) On-line recognition  
Keyword(2) Handwriting recognition  
Keyword(3) Address recognition  
Keyword(4) Context dictionary  
Keyword(5) Trie-Lexicon  
Keyword(6) Beam search  
Keyword(7)  
Keyword(8)  
1st Author's Name Gaku Kawasaki  
1st Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
2nd Author's Name Bilan Zhu  
2nd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
3rd Author's Name Masaki Nakagawa  
3rd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
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Speaker Author-1 
Date Time 2011-01-21 09:00:00 
Presentation Time 25 minutes 
Registration for PRMU 
Paper # PRMU2010-174, MVE2010-99 
Volume (vol) vol.110 
Number (no) no.381(PRMU), no.382(MVE) 
Page pp.205-210 
#Pages
Date of Issue 2011-01-13 (PRMU, MVE) 


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