Research On Digital Watermarking Based On The Basic Character Of The Text

As a text data protection technology, text watermarking aims to hide the information in text and to realize confirming the rights of the text and tailing the infringing behaviors to the text. As the text in the space domain and frequency domain lack of sufficient redundancy, the hiding techniques in multimedia could not be used to generate text watermarking. There is a kind of text watermark, using the unawerness of eye for word spacing, line spacing and font to achieve, but if it is subjected to re-layout or optical character recognition attack, it will be seriously damaged, that induce the limited applications. Text as the carrier has its particularity, it is natural language categories.The current text-based natural language processing to achieve information hiding are increasingly becoming the main direction of research, many institutions invested significant human and material resources, but there is not yet all unified standard, which limits the digital watermark in the natural language applications. In this paper, using the characteristics of Chinese natural language text after a wide range of research, a way to use the basic features of the text hidden text method is designed. In this paper the basic statistics analysis method was adoped, through the statistics of the core word and the number of occurrences found within each distinctive features of the text, to find out the inherent characteristics of each text. This method can realize the copyright protection of the original text under the premise of not changing the meaning of the text.