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Paper Abstract and Keywords
Presentation 2019-03-01 13:30
Recognition of Color Characters in Scene Images via Optimal Binarization and Distortion-tolerant Image Matching
Masato Suzuki, Toru Wakahara (Hosei Univ.) PRMU2018-130 CNR2018-53
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes an efficient combination of optimal binarization and distortion-tolerant image matching for color character recognition in scene images. First, we apply K-means clustering in Lab color space to a given color character image to generate a set of candidate binarized images. Second, those candidate binarized images are fed into the convolutional neural network in order to select an optimally binarized character image. Finally, the optimally binarized character image is recognized via affine-invariant image matching technique, GAT correlation, and k-nearest neighbor classification method. Experimental results made on the well-known color character dataset “The Chars74K” show that the proposed method achieves a correctly binarized character selection rate of 96.6%, and the final character recognition rate of 73.9%.
Keyword (in Japanese) (See Japanese page) 
(in English) Character Recognition in Scene Images / Optimal Binarization / K-means Clustering / GAT Correlation / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 459, PRMU2018-130, pp. 89-94, Feb. 2019.
Paper # PRMU2018-130 
Date of Issue 2019-02-21 (PRMU, CNR) 
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF PRMU2018-130 CNR2018-53

Conference Information
Committee PRMU CNR  
Conference Date 2019-02-28 - 2019-03-01 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2019-02-PRMU-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Recognition of Color Characters in Scene Images via Optimal Binarization and Distortion-tolerant Image Matching 
Sub Title (in English)  
Keyword(1) Character Recognition in Scene Images  
Keyword(2) Optimal Binarization  
Keyword(3) K-means Clustering  
Keyword(4) GAT Correlation  
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1st Author's Name Masato Suzuki  
1st Author's Affiliation Hosei University (Hosei Univ.)
2nd Author's Name Toru Wakahara  
2nd Author's Affiliation Hosei University (Hosei Univ.)
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Speaker
Date Time 2019-03-01 13:30:00 
Presentation Time 15 
Registration for PRMU 
Paper # IEICE-PRMU2018-130,IEICE-CNR2018-53 
Volume (vol) IEICE-118 
Number (no) no.459(PRMU), no.460(CNR) 
Page pp.89-94 
#Pages IEICE-6 
Date of Issue IEICE-PRMU-2019-02-21,IEICE-CNR-2019-02-21 


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