Paper Abstract and Keywords |
Presentation |
2015-02-19 16:20
[Poster Presentation]
Dot-Matrix Character Recognition and Printing Defect Detetion using Variation Model Based Learning Shun Matsui, Koji Endo, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura (Mie Univ.) PRMU2014-128 CNR2014-43 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
A detection method for printing defect of dot-matrix character which is used to describe the quality information of the product.
Currently, the printing inspection devices have been commercialized by several companies.
However, those devices need user inputs such as fonts of dot-matrix character manually in advance, usability can be improved.
Therefore, this method trains the generated characters, classify the printing defect detection by SVM using the likelihood obtained from the gradient feature and Modified Quadratic Discriminant Function.
In this approach, it is possible to conduct recognition and detection of printing defect simultaneously.
The result of the classification experiment correct or defect using line missing dot-matrix character as defect character, the classification accuracy is 99.61%. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Dot-Matrix Character / Printing Defect Detection / Character Recognition / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 454, PRMU2014-128, pp. 89-90, Feb. 2015. |
Paper # |
PRMU2014-128 |
Date of Issue |
2015-02-12 (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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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PRMU2014-128 CNR2014-43 |
Conference Information |
Committee |
PRMU CNR |
Conference Date |
2015-02-19 - 2015-02-20 |
Place (in Japanese) |
(See Japanese page) |
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Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2015-02-PRMU-CNR |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Dot-Matrix Character Recognition and Printing Defect Detetion using Variation Model Based Learning |
Sub Title (in English) |
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Keyword(1) |
Dot-Matrix Character |
Keyword(2) |
Printing Defect Detection |
Keyword(3) |
Character Recognition |
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1st Author's Name |
Shun Matsui |
1st Author's Affiliation |
Mie University (Mie Univ.) |
2nd Author's Name |
Koji Endo |
2nd Author's Affiliation |
Mie University (Mie Univ.) |
3rd Author's Name |
Wataru Ohyama |
3rd Author's Affiliation |
Mie University (Mie Univ.) |
4th Author's Name |
Tetsushi Wakabayashi |
4th Author's Affiliation |
Mie University (Mie Univ.) |
5th Author's Name |
Fumitaka Kimura |
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Mie University (Mie Univ.) |
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Speaker |
Author-1 |
Date Time |
2015-02-19 16:20:00 |
Presentation Time |
10 minutes |
Registration for |
PRMU |
Paper # |
PRMU2014-128, CNR2014-43 |
Volume (vol) |
vol.114 |
Number (no) |
no.454(PRMU), no.455(CNR) |
Page |
pp.89-90 |
#Pages |
2 |
Date of Issue |
2015-02-12 (PRMU, CNR) |
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