• DocumentCode
    2097410
  • Title

    Novel Text Watermarking Algorithm Based on Chinese Characters Structure

  • Author

    Li, Qing-Cheng ; Dong, Zhen-Hua

  • Author_Institution
    Coll. of Inf. Tech. Sci., NanKai Univ., Tianjin, China
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    348
  • Lastpage
    351
  • Abstract
    Chinese text documents can be watermarked by analyzing and patterning the characters¿ structure. This paper proposes a new natural text watermarking algorithm, which makes full use of the pictographic characters of the two-dimensional and the people¿s visual redundancy. In the algorithm, some Chinese characters can be split into two characters according the watermarking content, thereby increasing the text watermarking capacity, and by adjusting the characters¿ inter-space and displaying, we can enhance the text watermark¿s imperceptibility. For performance evaluation, we implement the algorithm to make experiments on different kinds of data sets. The results show that our watermarking method owns the following advantages: stronger watermarking robustness, greater watermarking capacity and better watermarking imperceptibility.
  • Keywords
    character recognition; document image processing; image classification; image coding; natural language processing; text analysis; watermarking; Chinese character structure; Chinese text document image; document coding redundancy; natural text watermarking algorithm; nature language process; pattern classification; people visual redundancy; pictographic character; watermark capacity; Algorithm design and analysis; Computer science; Copyright protection; Educational institutions; Image converters; Information analysis; Production; Robustness; Space technology; Watermarking; Chinese character structure; text watermarking; watermarking capacity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3746-7
  • Type

    conf

  • DOI
    10.1109/ISCSCT.2008.169
  • Filename
    4731637