Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Genetic algorithm for affine point pattern matching
Pattern Recognition Letters
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Modified patchwork-based watermarking scheme for satellite imagery
Signal Processing
Feature Based Affine Invariant Watermarking Robust to Geometric Distortions
Fundamenta Informaticae
Development of digital watermarking technology to protect cadastral map information
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Feature Based Affine Invariant Watermarking Robust to Geometric Distortions
Fundamenta Informaticae
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Geometric attacks are among the most challenging problems in present day watermarking. Such attacks are very simple to implement yet they can defeat most of the existing watermarking algorithms without causing serious perceptual image distortion. In this research, a novel method to estimate the geometric manipulation is reported. The point pattern matching measure is computed for estimating geometric manipulation. The reference point patterns (i.e., a triple) are computed from feature ellipse of the original image. The proposed scheme does not require the original image because reference triple information of the original image has been contained in the secret key. Novel algorithm has been proved its robustness to geometric attacks through experiments results.