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Paper Abstract and Keywords
Presentation 2026-01-19 14:50
A Novel Print-resistant Data Hiding Scheme Utilizing the Backgroud ROI
Kyosuke Inoue, Tetsuya Kojima (NIT, Tokyo College) EMM2025-105
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a print-resistant background Region of Interest (ROI) data hiding scheme designed to compensate for extraction errors in AI-based segmentation. The objective of this method is to enhance the robustness against print-and-scan processes while completely preserving the visual quality of the foreground of the image. The proposed scheme first performs occupancy analysis on AI-generated foreground masks, and then, classifies the background regions into "safe regions" and "ambiguous regions" located near the foreground boundaries. The locations of these ambiguous regions are embedded as meta-data within a fixed area at the top of the image. The meta-data enables the system to extract the data embedded in the ambiguous regions even if the mask recognition during the scanning process is inaccurate, which leads to improvement of the extraction accuracy. The performance of the proposed method is evaluated through experiments in print-and-scan senarios. Some problems and the ideas to resolve them are also discussed in the paper.
Keyword (in Japanese) (See Japanese page) 
(in English) QR Code / AR Marker / Spread Spectrum / PN Sequence / Reed-Solomon Code / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 317, EMM2025-105, pp. 25-30, Jan. 2026.
Paper # EMM2025-105 
Date of Issue 2026-01-12 (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 EMM2025-105

Conference Information
Committee EMM  
Conference Date 2026-01-19 - 2026-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Sense of Presence, Universal Media, Digital Entertainment, etc. 
Paper Information
Registration To EMM 
Conference Code 2026-01-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Novel Print-resistant Data Hiding Scheme Utilizing the Backgroud ROI 
Sub Title (in English)  
Keyword(1) QR Code  
Keyword(2) AR Marker  
Keyword(3) Spread Spectrum  
Keyword(4) PN Sequence  
Keyword(5) Reed-Solomon Code  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Kyosuke Inoue  
1st Author's Affiliation National Institute of Technology, Tokyo College (NIT, Tokyo College)
2nd Author's Name Tetsuya Kojima  
2nd Author's Affiliation National Institute of Technology, Tokyo College (NIT, Tokyo College)
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Speaker Author-1 
Date Time 2026-01-19 14:50:00 
Presentation Time 25 minutes 
Registration for EMM 
Paper # EMM2025-105 
Volume (vol) vol.125 
Number (no) no.317 
Page pp.25-30 
#Pages 6 
Date of Issue 2026-01-12 (EMM) 

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