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| Presentation | 2020-11-20 13:30 [Poster Presentation] Improved accuracy of QR code authenticity judgment algorithm Kengo Sato (TUS), Kitahiro Kaneda (OPU), Keiichi Iwamura (TUS)  EA2020-43 EMM2020-58 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | E-mail: †{sato_kengo, kaneda}@sec.ee.kagu.tus.ac.jp, ‡iwamura@ee.kagu.tus.ac.jp Abstract Currently, the distribution of counterfeit products such as food packages and drug labels that can be easily imitated has become a serious social problem. In order to solve the above problem, we propose a means to judge counterfeit products from QR codes that are commonly used for all products in daily life. The characteristics of an inkjet printer are used to determine authenticity. In the previous research, we considered the variation of the ink ejected during printing as a characteristic peculiar to the printed matter, and built a system to judge the authenticity by managing it in the database, but the number of data sets used for verification was small. There is a problem that the accuracy is not reliable. Therefore, in this paper, we will experiment with the authenticity judgment system after increasing the number of data sets, and verify the relationship between the number of registered data and the judgment accuracy. In addition, we propose a method for improving accuracy by improving image preprocessing. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | QR code / inkjet printer / image processing / LLAH / features / authenticity judgment / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 242, EMM2020-58, pp. 117-122, Nov. 2020. | |
| Paper # | EMM2020-58 | |
| Date of Issue | 2020-11-13 (EA, EMM) | |
| ISSN | 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 | EA2020-43 EMM2020-58 |
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| Conference Information | |
| Committee | EA ASJ-H EMM |
| Conference Date | 2020-11-20 - 2020-11-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | [Beginners Session] Engineering/Electro Acoustics, Content Processing, Digital Watermarking, Psychological and Physiological Acoustics, and Related Topics |
| Paper Information | |
| Registration To | EMM |
| Conference Code | 2020-11-EA-H-EMM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improved accuracy of QR code authenticity judgment algorithm |
| Sub Title (in English) | |
| Keyword(1) | QR code |
| Keyword(2) | inkjet printer |
| Keyword(3) | image processing |
| Keyword(4) | LLAH |
| Keyword(5) | features |
| Keyword(6) | authenticity judgment |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kengo Sato |
| 1st Author's Affiliation | Tokyo University of Science (TUS) |
| 2nd Author's Name | Kitahiro Kaneda |
| 2nd Author's Affiliation | Osaka Prefecture University (OPU) |
| 3rd Author's Name | Keiichi Iwamura |
| 3rd Author's Affiliation | Tokyo University of Science (TUS) |
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| Speaker | Author-1 |
| Date Time | 2020-11-20 13:30:00 |
| Presentation Time | 120 minutes |
| Registration for | EMM |
| Paper # | EA2020-43, EMM2020-58 |
| Volume (vol) | vol.120 |
| Number (no) | no.241(EA), no.242(EMM) |
| Page | pp.117-122 |
| #Pages | 6 |
| Date of Issue | 2020-11-13 (EA, EMM) |
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