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

2018 ◽  
pp. 360-368
Author(s):  
Guoyin Zhang ◽  
Qingan Da ◽  
Liguo Zhang ◽  
Jianguo Sun ◽  
Qilong Han ◽  
...  
Keyword(s):  
Fragile Watermarking ◽  
Vector Map ◽  
Watermarking Scheme ◽  
2D Vector Map

Block-based Reversible Fragile Watermarking for 2D Vector Map Authentication

2015 ◽  
Vol 7 (3) ◽  
pp. 60-80 ◽  
Author(s):  
Nana Wang ◽  
Xiangjun Zhao ◽  
Han Zhang
Keyword(s):  
Computational Complexity ◽  
Reversible Watermarking ◽  
Fragile Watermarking ◽  
Experimental Results ◽  
Malicious Attacks ◽  
Tamper Localization ◽  
Vector Map ◽  
Concentric Circles ◽  
Block Based ◽  
2D Vector Map

In this paper, the authors propose a block-based reversible watermarking method for 2D vector map authentication. In the scheme, they divide the features of a vector map into different categories of blocks, calculate an authentication watermark for each block, and embed the watermarks of different blocks using a reversible watermarking method based on virtual coordinates and a fragile watermarking algorithm based on concentric circles. While the block division ensures superior accuracy of tamper localization, the two watermarking methods provide recovery of the original content. Experimental results show that the proposed scheme has good invisibility, reversibility and computational complexity, and can accurately locate malicious attacks such as vertex modification/addition/deletion and feature modification/addition/deletion.

A normalization-based watermarking scheme for 2D vector map data

2017 ◽  
Vol 10 (4) ◽  
pp. 471-481 ◽  
Author(s):  
Haowen Yan ◽  
Liming Zhang ◽  
Weifang Yang
Keyword(s):  
Vector Map ◽  
Map Data ◽  
Watermarking Scheme ◽  
2D Vector Map

scholarly journals Dual Zero-Watermarking Scheme for Two-Dimensional Vector Map Based on Delaunay Triangle Mesh and Singular Value Decomposition

2019 ◽  
Vol 9 (4) ◽  
pp. 642 ◽  
Author(s):  
Xu Xi ◽  
Xinchang Zhang ◽  
Weidong Liang ◽  
Qinchuan Xin ◽  
Pengcheng Zhang
Keyword(s):  
Singular Value Decomposition ◽  
Singular Value ◽  
Two Dimensional ◽  
Triangle Mesh ◽  
Vector Map ◽  
Vector Maps ◽  
Feature Sequence ◽  
Zero Watermarking ◽  
Value Decomposition ◽  
Watermarking Scheme

Digital watermarking is important for the copyright protection of electronic data, but embedding watermarks into vector maps could easily lead to changes in map precision. Zero-watermarking, a method that does not embed watermarks into maps, could avoid altering vector maps but often lack of robustness. This study proposes a dual zero-watermarking scheme that improves watermark robustness for two-dimensional (2D) vector maps. The proposed scheme first extracts the feature vertices and non-feature vertices of the vector map with the Douglas-Peucker algorithm and subsequently constructs the Delaunay Triangulation Mesh (DTM) to form a topological feature sequence of feature vertices as well as the Singular Value Decomposition (SVD) matrix to form intrinsic feature sequence of non-feature vertices. Next, zero-watermarks are obtained by executing exclusive disjunction (XOR) with the encrypted watermark image under the Arnold scramble algorithm. The experimental results show that the scheme that synthesizes both the feature and non-feature information improves the watermark capacity. Making use of complementary information between feature and non-feature vertices considerably improves the overall robustness of the watermarking scheme. The proposed dual zero-watermarking scheme combines the advantages of individual watermarking schemes and is robust against such attacks as geometric attacks, vertex attacks and object attacks.

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