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Paper Abstract and Keywords
Presentation 2018-02-19 09:30
A top-down approach in dot-matrix character extraction
Takuya Mizoguchi (NAIST), Yoshihisa Ijiri, Masaki Suwa (OMRON), Kiyoshi Kiyokawa (NAIST) PRMU2017-145 CNR2017-23
Abstract (in Japanese) (See Japanese page) 
(in English) A dot-matrix character is a character formed by a dot matrix and used in such factory automation application as product quality management. If the machine can automatically recognize dot-matrix characters it will contribute greatly to the industry applications from the viewpoints of cost, operational aspects, etc. In the task of character recognition, it is common to generate an input image for individual characters, so image segmentation into each character region is necessary. However, such existing approaches relying on pixel connectivities cannot be used for dot-matrix characters. In this research, we propose a top-down segmentation method which gradually narrows down dot-matrix character regions considering such characteristics. In this research, we evaluated the proposed segmentation method with a variety of images containing printed dot-matrix characters including difficult properties such as distortion and specular highlights which have not been verified in existing studies.
Keyword (in Japanese) (See Japanese page) 
(in English) Factory Automation / Dot-matrix characters / Segmentation / Top-down / Unsupervised Learning / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 442, PRMU2017-145, pp. 1-6, Feb. 2018.
Paper # PRMU2017-145 
Date of Issue 2018-02-12 (PRMU, CNR) 
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)
Download PDF PRMU2017-145 CNR2017-23

Conference Information
Committee PRMU CNR  
Conference Date 2018-02-19 - 2018-02-20 
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 2018-02-PRMU-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A top-down approach in dot-matrix character extraction 
Sub Title (in English)  
Keyword(1) Factory Automation  
Keyword(2) Dot-matrix characters  
Keyword(3) Segmentation  
Keyword(4) Top-down  
Keyword(5) Unsupervised Learning  
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1st Author's Name Takuya Mizoguchi  
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology (NAIST)
2nd Author's Name Yoshihisa Ijiri  
2nd Author's Affiliation TECHNOLOGY AND INTELLECTUAL PROPERTY H.Q., OMRON Corporation (OMRON)
3rd Author's Name Masaki Suwa  
3rd Author's Affiliation TECHNOLOGY AND INTELLECTUAL PROPERTY H.Q., OMRON Corporation (OMRON)
4th Author's Name Kiyoshi Kiyokawa  
4th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology (NAIST)
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Speaker
Date Time 2018-02-19 09:30:00 
Presentation Time 30 
Registration for PRMU 
Paper # IEICE-PRMU2017-145,IEICE-CNR2017-23 
Volume (vol) IEICE-117 
Number (no) no.442(PRMU), no.443(CNR) 
Page pp.1-6 
#Pages IEICE-6 
Date of Issue IEICE-PRMU-2018-02-12,IEICE-CNR-2018-02-12 


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