Application of Hopfield Neural Network in the Text Watermarking
Wang Jin · Journal of Hangzhou Dianzi University · 2013
Making using of associative memory function of Hopfield neural network,a text recoverable watermarking algorithm based on Hopfield neural network is proposed in this paper.Watermark is embedded by synonym replacement,and the Hopfield neural network is trained by the position information of replaceable words and watermark to remember the original text features and watermark.The experiment results show that the proposed algorithm has high concealment and robustness,not only the change of original text caused by embedding watermark can be recovered,but also some attacks on content watermark text can be recovered.