File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1007/978-3-540-28640-0_51
- Scopus: eid_2-s2.0-35048830484
- Find via
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Article: Document image watermarking based on weight-invariant partition using support vector machine
Title | Document image watermarking based on weight-invariant partition using support vector machine |
---|---|
Authors | |
Issue Date | 2004 |
Citation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004, v. 3163, p. 546-554 How to Cite? |
Abstract | Security concern about document images is important since document images are distributed in large amount both electronically and physically. They are easily copied and the copyright information is difficult to identify. In this paper, we present a new algorithm for document image watermarking, which is based on weight-invariant partition of the document in the spatial domain, where the weight of a partition is the average number of pixels in lines within the partition. We discuss the issues of robustness, security, capacity and fault-tolerance related to the watermarking method. In order to simultaneously achieve high capacity and security, the partition method is further improved using the support vector machine technique. The experiments indicate the soundness of our method. © Springer-Verlag 2004. |
Persistent Identifier | http://hdl.handle.net/10722/336059 |
ISSN | 2023 SCImago Journal Rankings: 0.606 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hu, Shiyan | - |
dc.date.accessioned | 2024-01-15T08:22:26Z | - |
dc.date.available | 2024-01-15T08:22:26Z | - |
dc.date.issued | 2004 | - |
dc.identifier.citation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004, v. 3163, p. 546-554 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/10722/336059 | - |
dc.description.abstract | Security concern about document images is important since document images are distributed in large amount both electronically and physically. They are easily copied and the copyright information is difficult to identify. In this paper, we present a new algorithm for document image watermarking, which is based on weight-invariant partition of the document in the spatial domain, where the weight of a partition is the average number of pixels in lines within the partition. We discuss the issues of robustness, security, capacity and fault-tolerance related to the watermarking method. In order to simultaneously achieve high capacity and security, the partition method is further improved using the support vector machine technique. The experiments indicate the soundness of our method. © Springer-Verlag 2004. | - |
dc.language | eng | - |
dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.title | Document image watermarking based on weight-invariant partition using support vector machine | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/978-3-540-28640-0_51 | - |
dc.identifier.scopus | eid_2-s2.0-35048830484 | - |
dc.identifier.volume | 3163 | - |
dc.identifier.spage | 546 | - |
dc.identifier.epage | 554 | - |
dc.identifier.eissn | 1611-3349 | - |