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Cited by 375

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Data hiding in binary image for authentication and annotation

Min Wu, Bede Liu·2004·IEEE Transactions on Multimedia

Abstract

This paper proposes a new method to embed data in binary images, including scanned text, figures, and signatures. The method manipulates "flippable" pixels to enforce specific block-based relationship in order to embed a significant amount of data without causing noticeable artifacts. Shuffling is applied before embedding to equalize the uneven embedding capacity from region to region. The hidden data can be extracted without using the original image, and can also be accurately extracted after high quality printing and scanning with the help of a few registration marks. The proposed data embedding method can be used to detect unauthorized use of a digitized signature, and annotate or authenticate binary documents. The paper also presents analysis and discussions on robustness and security issues.

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Metadata

Authors
Wu, M., & Liu, B.
Venue
IEEE Transactions on Multimedia
Published
2004-08
Volume
6
Issue
4
Pages
528-538
ISSN
  • 1520-9210 (ISSN-L)
  • 1941-0077
OpenAlex
W2015865004
Cited by
375
References
16
FWCI
23.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Data hiding in binary image for authentication and annotation. https://app.cochat.ai/papers/10.1109/tmm.2004.830814
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Wu, M., & Liu, B. (2004). Data hiding in binary image for authentication and annotation. IEEE Transactions on Multimedia. https://doi.org/10.1109/tmm.2004.830814

Data sources

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.