Research Article
A Fragile Watermarking Scheme of Anti-deleting Features for 2D Vector Map
@INPROCEEDINGS{10.1007/978-3-319-73317-3_42, author={Guoyin Zhang and Qingan Da and Liguo Zhang and Jianguo Sun and Qilong Han and Liang Kou and WenShan Wang}, title={A Fragile Watermarking Scheme of Anti-deleting Features for 2D Vector Map}, proceedings={Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17--18, 2017, Proceedings}, proceedings_a={ADHIP}, year={2018}, month={2}, keywords={Fragile watermarking Tamper localization 2D vector map Batch features deletion}, doi={10.1007/978-3-319-73317-3_42} }- Guoyin Zhang
Qingan Da
Liguo Zhang
Jianguo Sun
Qilong Han
Liang Kou
WenShan Wang
Year: 2018
A Fragile Watermarking Scheme of Anti-deleting Features for 2D Vector Map
ADHIP
Springer
DOI: 10.1007/978-3-319-73317-3_42
Abstract
This paper proposes a fragile watermarking scheme of anti-deleting features for 2D vector map. The features in vector map are first divided into disjoint groups to ensure the accuracy of tamper localization. In order to locate the batch features deletion attack, we design a feature group correlation technique based on vertex insertion. And a watermark is generated by folding the hash results of the differences of the log-radiuses, which is robust to resist rotation, uniform scaling and translation (RST) operations. And we embed the watermark with a RST invariant watermarking method. Two datasets are constructed for experimentation and the results compared with previous methods indicate that the proposed scheme has good invisibility and high tampering localization accuracy on the feature addition and deletion attack.