In recent years, digital watermarking is playing an increasingly important role in the geographical information
copyright protection. However, usually there is a high undetected rate in image watermarking authentication of GIS
(Geographic Information System) vector data, because in watermark similarity calculation there are some problems,
for example, the extracted watermark displacement and length changing, etc. This paper based on these focused
research: the extracted watermark's position correction methods on the basis of the original watermark; the non-equal
length strings similarity calculation methods, formed an image watermark similarity calculation of GIS vector data.
This method effectively solved the problem of the high undetected rate in watermark certification, and to some extent
improved the vector data's copyright authentication theoretical basis and technology.
In recent years, digital watermarking is playing an increasingly important role in the geographical informationcopyright protection. However, usually there is a high undetected rate in image watermarking authentication of GIS(Geographic Information System) vector data, because in watermark similarity calculation there are some problems,for example, the extracted watermark displacement and length changing, etc. This paper based on these focusedresearch: the extracted watermark's position correction methods on the basis of the original watermark; the non-equallength strings similarity calculation methods, formed an image watermark similarity calculation of GIS vector data.This method effectively solved the problem of the high undetected rate in watermark certification, and to some extentimproved the vector data's copyright authentication theoretical basis and technology.
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