Research Of Information Hiding For Video And Application On Biometric Identification

In recent years, with the wide applications of Internet and the rapid development of digital multimedia technology, the problems of suffering from attacks and the infringement of copyright in the transmission of videos are become more serious. At the moment, as one of the most powerful tools for information security, the video information hiding has been an important problem for the research of information hiding.In this paper, firstly we give an outline of the situation of study and the development of information hiding. Secondly, we summarize the rudimentary knowledge, including the category, characteristics of video information hiding and types of attack. And we briefly introduce the related mathematical theories and methods. At last, we propose two video information hiding schemes. One is a video watermarking approach based on temporal difference and discrete wavelet transform. It combines with human visual system(HVS) characteristics, uses block-based temporal difference to analyze the motion information of approximate bands after discrete wavelet transform decomposition of video frames and finally embeds a binary watermark scrambled by Arnold transform to obtained motion activity regions. And the other is a video steganography approach based on biometric image set on the basis of video watermarking research. This method tries to combine biometric identification technology with information hiding technology. Firstly it analyses the correlation between the biometric image set and the video sequence for reducing the power of secret images and takes the obtained residual images as secret information which will be used to embed. And then it adopts frame-based and block-based temporal difference to analyze the motion activity of video sequences. Finally we embed the secret information to motion regions which have higher activity.For the proposed video watermarking approach and video steganography approach, we take MATLAB as the platform to conduct many tests, gain many exact experimental results and analyze them. Extensive experimental results demonstrate that the proposed methods have good invisibility, perfect robustness, and high security. Besides, the proposed video steganography approach makes good use of the redundancy information, implements the high capacity embedding of secret image sets, improves the biometric recognition rate, and lays the foundation of further research.