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Conference Paper: Document image watermarking algorithm based on neighborhood pixel ratio

TitleDocument image watermarking algorithm based on neighborhood pixel ratio
Authors
Hu, Shiyan
Issue Date2005
Citation
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2005, v. II, p. 841-844 How to Cite?
DOI: http://dx.doi.org/10.1109/ICASSP.2005.1415536
AbstractIn this paper, a new method for document image watermarking is proposed. The method first divides the document into weight-invariant partitions in the spatial domain using a novel image feature - the neighborhood pixel ratio. Such a ratio effectively summarizes the local information and is robust to common attacks. The document image is then partitioned in a key-dependant way for high capacity and security. Our experimental results demonstrate the effectiveness of the new method. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/336029
ISSN
1520-6149

 

DC FieldValueLanguage
dc.contributor.authorHu, Shiyan-
dc.date.accessioned2024-01-15T08:22:09Z-
dc.date.available2024-01-15T08:22:09Z-
dc.date.issued2005-
dc.identifier.citationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2005, v. II, p. 841-844-
dc.identifier.issn1520-6149-
dc.identifier.urihttp://hdl.handle.net/10722/336029-
dc.description.abstractIn this paper, a new method for document image watermarking is proposed. The method first divides the document into weight-invariant partitions in the spatial domain using a novel image feature - the neighborhood pixel ratio. Such a ratio effectively summarizes the local information and is robust to common attacks. The document image is then partitioned in a key-dependant way for high capacity and security. Our experimental results demonstrate the effectiveness of the new method. © 2005 IEEE.-
dc.languageeng-
dc.relation.ispartofICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings-
dc.titleDocument image watermarking algorithm based on neighborhood pixel ratio-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICASSP.2005.1415536-
dc.identifier.scopuseid_2-s2.0-33646779201-
dc.identifier.volumeII-
dc.identifier.spage841-
dc.identifier.epage844-

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