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Robust PDF Watermarking against Print–Scan Attack
Portable document format (PDF) files are widely used in file transmission, exchange, and circulation because of their platform independence, small size, good browsing quality, and the ability to place hyperlinks. However, their security issues are also more thorny. It is common to distribute printed...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490297/ https://www.ncbi.nlm.nih.gov/pubmed/37687821 http://dx.doi.org/10.3390/s23177365 |
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author | Li, Lei Zhang, Hong-Jun Meng, Jia-Le Lu, Zhe-Ming |
author_facet | Li, Lei Zhang, Hong-Jun Meng, Jia-Le Lu, Zhe-Ming |
author_sort | Li, Lei |
collection | PubMed |
description | Portable document format (PDF) files are widely used in file transmission, exchange, and circulation because of their platform independence, small size, good browsing quality, and the ability to place hyperlinks. However, their security issues are also more thorny. It is common to distribute printed PDF files to different groups and individuals after printing. However, most PDF watermarking algorithms currently cannot resist print–scan attacks, making it difficult to apply them in leak tracing of both paper and scanned versions of PDF documents. To tackle this issue, we propose an invisible digital watermarking technology based on modifying the edge pixels of text strokes to hide information in PDFs, which achieves high robustness to print–scan attacks. Moreover, it cannot be detected by human perception systems. This method focuses on the representation of text by embedding watermarks by changing the features of the text to ensure that changes in these features can be reflected in the scanned PDF after printing. We first segment each text line into two sub-blocks, then select the row of pixels with the most black pixels, and flip the edge pixels closest to this row. This method requires the participation of original PDF documents in detection. The experimental results show that all peak signal-to-noise ratio (PSNR) values of our proposed method exceed 32 dB, which indicates satisfactory invisibility. Meanwhile, this method can extract the hidden information with 100% accuracy under the JPEG compression attack, and has high robustness against noise attacks and print–scan attacks. In the case of no attacks, the watermark can be recovered without any loss. In terms of practical applications, our method can be applied in the practical leak tracing of official paper documents after distribution. |
format | Online Article Text |
id | pubmed-10490297 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104902972023-09-09 Robust PDF Watermarking against Print–Scan Attack Li, Lei Zhang, Hong-Jun Meng, Jia-Le Lu, Zhe-Ming Sensors (Basel) Article Portable document format (PDF) files are widely used in file transmission, exchange, and circulation because of their platform independence, small size, good browsing quality, and the ability to place hyperlinks. However, their security issues are also more thorny. It is common to distribute printed PDF files to different groups and individuals after printing. However, most PDF watermarking algorithms currently cannot resist print–scan attacks, making it difficult to apply them in leak tracing of both paper and scanned versions of PDF documents. To tackle this issue, we propose an invisible digital watermarking technology based on modifying the edge pixels of text strokes to hide information in PDFs, which achieves high robustness to print–scan attacks. Moreover, it cannot be detected by human perception systems. This method focuses on the representation of text by embedding watermarks by changing the features of the text to ensure that changes in these features can be reflected in the scanned PDF after printing. We first segment each text line into two sub-blocks, then select the row of pixels with the most black pixels, and flip the edge pixels closest to this row. This method requires the participation of original PDF documents in detection. The experimental results show that all peak signal-to-noise ratio (PSNR) values of our proposed method exceed 32 dB, which indicates satisfactory invisibility. Meanwhile, this method can extract the hidden information with 100% accuracy under the JPEG compression attack, and has high robustness against noise attacks and print–scan attacks. In the case of no attacks, the watermark can be recovered without any loss. In terms of practical applications, our method can be applied in the practical leak tracing of official paper documents after distribution. MDPI 2023-08-23 /pmc/articles/PMC10490297/ /pubmed/37687821 http://dx.doi.org/10.3390/s23177365 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Lei Zhang, Hong-Jun Meng, Jia-Le Lu, Zhe-Ming Robust PDF Watermarking against Print–Scan Attack |
title | Robust PDF Watermarking against Print–Scan Attack |
title_full | Robust PDF Watermarking against Print–Scan Attack |
title_fullStr | Robust PDF Watermarking against Print–Scan Attack |
title_full_unstemmed | Robust PDF Watermarking against Print–Scan Attack |
title_short | Robust PDF Watermarking against Print–Scan Attack |
title_sort | robust pdf watermarking against print–scan attack |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490297/ https://www.ncbi.nlm.nih.gov/pubmed/37687821 http://dx.doi.org/10.3390/s23177365 |
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