mPDF: Framework for Watermarking PDF Files using Image Watermarking Algorithms
Sachin Mehta, Balakrishnan Prabhakaran, Rajarathnam Nallusamy, Derrick, Newton

TL;DR
This paper introduces mPDF, a framework that adapts digital image watermarking algorithms for text PDF documents by classifying blocks into texture and non-texture regions, enhancing robustness against common attacks.
Contribution
The paper presents a novel framework that enables the application of image watermarking techniques to text documents, overcoming limitations of existing text watermarking methods.
Findings
Effective watermark embedding in texture blocks of text PDFs.
Robustness against print & scan, print screen, and skew attacks.
Overcomes manual inspection and language dependency issues.
Abstract
The advancement in digital technologies have made it possible to produce perfect copies of digital content. In this environment, malicious users reproduce the digital content and share it without compensation to the content owner. Content owners are concerned about the potential loss of revenue and reputation from piracy, especially when the content is available over the Internet. Digital watermarking has emerged as a deterrent measure towards such malicious activities. Several methods have been proposed for copyright protection and fingerprinting of digital images. However, these methods are not applicable to text documents as these documents lack rich texture information which is abundantly available in digital images. In this paper, a framework (mPDF) is proposed which facilitates the usage of digital image watermarking algorithms on text documents. The proposed method divides a text…
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Taxonomy
TopicsAdvanced Steganography and Watermarking Techniques · Digital Media Forensic Detection · Chaos-based Image/Signal Encryption
