A Fragile Watermarking Scheme of Anti-deleting Features for 2D Vector Map

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.