DocumentCode
508902
Title
Vector Polygon Blind Watermarking Based on Canonical Correlation Analysis
Author
Sun, Guangling ; Shen, Zhoubiao ; Chen, Huan
Author_Institution
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
Volume
1
fYear
2009
fDate
18-20 Nov. 2009
Firstpage
544
Lastpage
548
Abstract
A vector polygon blind watermarking algorithm based on canonical correlation analysis (CCA) is proposed for protecting the copyright of vector polygon. In embedding, vertices of a polygon are separated into two groups according to odd-even properties of their indexes. CCA is carried out on the two vertex groups to get canonical variables. The absolute value of canonical variables is proved to be affine invariant so that it is called affine invariant descriptor. The watermark is embedded into the magnitude of Fourier descriptors of affine invariant descriptors. In detection, affine invariant descriptors are obtained through a same process as embedding. The correlation between magnitude of the Fourier descriptors of affine invariant descriptors and the watermark is calculated. The watermark can be detected by comparing the correlation to a pre-selected threshold. The algorithm is blind as it doesn´t need the original graphics during detection. Both theoretical analysis and simulation results have demonstrated feasibility and reliability of the proposed algorithm.
Keywords
affine transforms; computational geometry; copyright; correlation methods; vectors; watermarking; Fourier descriptors; affine invariant descriptor; canonical correlation analysis; canonical variables; copyright; odd-even properties; vector polygon blind watermarking algorithm; Authentication; Computer graphics; Computer security; Discrete cosine transforms; Educational institutions; Geographic Information Systems; Information security; Robustness; Spline; Watermarking; CCA; Fourier descriptor; blind watermarking; vector polygon;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Information Networking and Security, 2009. MINES '09. International Conference on
Conference_Location
Hubei
Print_ISBN
978-0-7695-3843-3
Electronic_ISBN
978-1-4244-5068-8
Type
conf
DOI
10.1109/MINES.2009.244
Filename
5368416
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