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Paper Abstract and Keywords
Presentation 2015-05-15 15:40
Segmentation and Classification of the Added Marks for Writer Adaptable Handwritten Hiragana Character Recognition
Isamu Fujii, Hiroharu Kawanaka, Haruhiko Takase, Hisanori Yagami, Shinji Tsuruoka (Mie Univ.) SIP2015-31 IE2015-31 PRMU2015-31 MI2015-31
Abstract (in Japanese) (See Japanese page) 
(in English) Handwritten recognition system is used widely for the image captured by a digital camera, an image scanner or a touch panel. In previous research, we had proposed a Japanese character recognition method using the character set of a similar writer in order to reduce the burden on the user and to improve the recognition accuracy of the characters. We obtained the higher recognition accuracy of personal character recognition (94.3%) than the general dictionary that is generated by many writers.
The accuracy rate 94.3% was the mean of the all categories, and the accuracy rate of the character with added marks, which are “Dakuten ( ゛)” mark and “Han-dakuten( ゜) ” mark, was 86.8%. The reason of the lower accuracy rate is that the locations of added marks have a large variation. In this paper, we propose a new approach for the character with the added marks recognition, which divides the form of a candidate character into a base character and an added character. We construct the algorithm of segmentation on “added marks” and classification of two “added marks” that is, “Dakuten” and “Han-dakuten”. We obtained 95.3% correct classification rate.
Keyword (in Japanese) (See Japanese page) 
(in English) handwritten character recognition / similar writer / Japanese Hiragana / added mark / classification / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 24, PRMU2015-31, pp. 167-171, May 2015.
Paper # PRMU2015-31 
Date of Issue 2015-05-07 (SIP, IE, PRMU, MI) 
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 SIP2015-31 IE2015-31 PRMU2015-31 MI2015-31

Conference Information
Committee PRMU MI IE SIP  
Conference Date 2015-05-14 - 2015-05-15 
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 2015-05-PRMU-MI-IE-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Segmentation and Classification of the Added Marks for Writer Adaptable Handwritten Hiragana Character Recognition 
Sub Title (in English)  
Keyword(1) handwritten character recognition  
Keyword(2) similar writer  
Keyword(3) Japanese Hiragana  
Keyword(4) added mark  
Keyword(5) classification  
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1st Author's Name Isamu Fujii  
1st Author's Affiliation Mie University (Mie Univ.)
2nd Author's Name Hiroharu Kawanaka  
2nd Author's Affiliation Mie University (Mie Univ.)
3rd Author's Name Haruhiko Takase  
3rd Author's Affiliation Mie University (Mie Univ.)
4th Author's Name Hisanori Yagami  
4th Author's Affiliation Mie University (Mie Univ.)
5th Author's Name Shinji Tsuruoka  
5th Author's Affiliation Mie University (Mie Univ.)
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Speaker Author-1 
Date Time 2015-05-15 15:40:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # SIP2015-31, IE2015-31, PRMU2015-31, MI2015-31 
Volume (vol) vol.115 
Number (no) no.22(SIP), no.23(IE), no.24(PRMU), no.25(MI) 
Page pp.167-171 
#Pages 5 
Date of Issue 2015-05-07 (SIP, IE, PRMU, MI) 

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