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Paper Abstract and Keywords
Presentation 2013-12-13 16:40
A Study on Generation and Recognition of Dot Matrix Characters
Koji Endo, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura (Mie Univ.) PRMU2013-90
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a camera-based OCR technique for dot-matrix characters which are widely used for printing information, such as expire date and production number, on products.
The difficulty of recognition of dot-matrix character is due to variety of dot alignment and distance between dots even in the same character class.
Furthermore, appearance of camera-captured dot-matrix character is easily changed when the characters are printed on rounded surface such as side of bottles.
This appearance change sometimes affects the performance of recognition.
In this report, we propose a generative learning method for dot-matrix characters.
Generated dataset consists of camera captured actual dot-matrix characters, two types of dot-matrix character generated by our method and usual (non-dot-matrix) characters corrected for printed OCR.
To address variety of character appearance due to characters are printed on round surface, three-dimensional rotation is applied on each character in the generated training dataset.
We compared each condition of generating training dataset for recognition performance.
In the experiment, grayscale gradient features and pseudo Bayes discriminant function are employed.
Recognition accuracy on a dataset consists of 38 classes (2030 samples) actual camera-captured dot-matrix characters achieves 97.88%.
Keyword (in Japanese) (See Japanese page) 
(in English) dot matrix character recognition / generative learning / 3d-rotation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 346, PRMU2013-90, pp. 133-137, Dec. 2013.
Paper # PRMU2013-90 
Date of Issue 2013-12-05 (PRMU) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 2013-12-12 - 2013-12-13 
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 2013-12-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Generation and Recognition of Dot Matrix Characters 
Sub Title (in English)  
Keyword(1) dot matrix character recognition  
Keyword(2) generative learning  
Keyword(3) 3d-rotation  
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1st Author's Name Koji Endo  
1st Author's Affiliation Mie University (Mie Univ.)
2nd Author's Name Wataru Ohyama  
2nd Author's Affiliation Mie University (Mie Univ.)
3rd Author's Name Tetsushi Wakabayashi  
3rd Author's Affiliation Mie University (Mie Univ.)
4th Author's Name Fumitaka Kimura  
4th Author's Affiliation Mie University (Mie Univ.)
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Speaker Author-1 
Date Time 2013-12-13 16:40:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2013-90 
Volume (vol) vol.113 
Number (no) no.346 
Page pp.133-137 
#Pages
Date of Issue 2013-12-05 (PRMU) 


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