Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China 在期刊界中查找 在百度中查找 在本站中查找
Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China 在期刊界中查找 在百度中查找 在本站中查找
Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China 在期刊界中查找 在百度中查找 在本站中查找
Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China 在期刊界中查找 在百度中查找 在本站中查找
This paper creates a kind of linear independent character code, presents a new theory based on Synergetic, which applies Synergetic to digital fingerprinting, and then proposes a scheme of collusion-resistant digital fingerprinting based on residual characters tracking. The efficiency and the performance are proved and analyzed by theories and examples. The experimental results indicate that the proposed method can greatly improve the efficiencies of encoding and tracing in the digital fingerprinting. The performance in robustness and collusion-resistant is able to meet the requirements of the applications of digital fingerprinting.