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Computer Optics, 2017, Volume 41, Issue 6, Pages 913–919
DOI: https://doi.org/10.18287/2412-6179-2017-41-6-913-919
(Mi co465)
 

This article is cited in 8 scientific papers (total in 8 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

A new watermarking method for vector map data

Yu. D. Vybornovaa, V. V. Sergeevab

a Samara National Research University, Samara, Russia
b Image Processing Systems Institute of the RAS - Branch of the FSRC "Crystallography and Photonics" RAS, Samara, Russia
Full-text PDF (256 kB) Citations (8)
References:
Abstract: In this paper, we propose a new digital watermarking method for protecting of vector data in geographic information systems. The method is based on a combination of two novel approaches. Firstly, the watermark information is embedded into the polygon map objects by cyclically shifting the list of vertices of each polygon. Secondly, instead of a bit vector, a raster image superimposed on the map is considered as a watermark. The major advantage of this method is that it does not distort the map by altering the coordinate values. A simple example demonstrates the method efficiency, as well as the robustness of the embedded watermark against geometric transformations usually performed when working with map data: translation, scaling, rotation and cropping.
Keywords: digital watermarking, geographic information systems, GIS, vector map, raster image, data protection.
Received: 15.06.2017
Accepted: 13.11.2017
Document Type: Article
Language: Russian
Citation: Yu. D. Vybornova, V. V. Sergeev, “A new watermarking method for vector map data”, Computer Optics, 41:6 (2017), 913–919
Citation in format AMSBIB
\Bibitem{VybSer17}
\by Yu.~D.~Vybornova, V.~V.~Sergeev
\paper A new watermarking method for vector map data
\jour Computer Optics
\yr 2017
\vol 41
\issue 6
\pages 913--919
\mathnet{http://mi.mathnet.ru/co465}
\crossref{https://doi.org/10.18287/2412-6179-2017-41-6-913-919}
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  • https://www.mathnet.ru/eng/co465
  • https://www.mathnet.ru/eng/co/v41/i6/p913
  • This publication is cited in the following 8 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
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    References:19
     
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