• DocumentCode
    167213
  • Title

    A Novel Approach by Applying Image Authentication Technique on a Digital Document

  • Author

    Jau-Ji Shen ; Ken-Tzu Liu

  • Author_Institution
    Dept. of Manage. Inf. Syst., Nat. Chung Hsing Univ., Taichung, Taiwan
  • fYear
    2014
  • fDate
    10-12 June 2014
  • Firstpage
    119
  • Lastpage
    122
  • Abstract
    In this paper, a new idea of digital document authentication is proposed. We deal with this problem by treating a digital document as an image, hence the authentication code of a digital document can be derived from this document´s text itself. No longer to encrypt a document by heavily enlarging the document size with a given complex digital signature, the authentication code is just encoded into the original document image version. The most remarkable benefit of our method is the document can be maintained at the same size after authentication code encryption. Moreover, by adopting this approach, not only the tampered document can be verified by itself, but also the tampered words are able to be located precisely. In the experiment, some attacks such as words substitutions have been conducted to show the performance of our method.
  • Keywords
    Markov processes; cryptography; digital signatures; document image processing; image coding; image forensics; image watermarking; Markov chain; complex digital signature; digital document authentication code encryption; digital forensics; document size; fragile watermark; image authentication technique; original document image version; tampered document; tampered words; words substitutions; Authentication; Cryptography; Digital signatures; Image reconstruction; Markov processes; Vectors; Watermarking; Markov chain; document authentication; fragile watermark;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Consumer and Control (IS3C), 2014 International Symposium on
  • Conference_Location
    Taichung
  • Type

    conf

  • DOI
    10.1109/IS3C.2014.42
  • Filename
    6845474