• DocumentCode
    1879351
  • Title

    Novel feature vector for image authentication

  • Author

    Datta, Ankur ; Lobo, Niels Da Ktoria ; Leeson, John J.

  • Author_Institution
    Dept. of Comput. Sci., Central Florida Univ., Orlando, FL, USA
  • Volume
    2
  • fYear
    2003
  • fDate
    6-9 July 2003
  • Abstract
    As the dissemination of images grows across the Internet, authentication of images is becoming an important research issue. Image watermarking techniques are the most used forms to authenticate an image, however they introduce distortions in the original image and are vulnerable to a multitude of attacks. In this paper we present a novel method to authenticate images. We propose that instead of watermarking images, we can authenticate an image by calculating an invariant feature vector which models the image based on its shape and illumination characteristics. We propose an algorithm to calculate such a robust feature vector which withstands a variety of attacks and hence can be a good alternative to watermarking techniques.
  • Keywords
    Internet; image processing; message authentication; vectors; watermarking; Internet; image authentication; invariant feature vector; Authentication; Computer science; Gray-scale; Internet; Lighting; Mirrors; Protection; Robustness; Shape; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference on
  • Print_ISBN
    0-7803-7965-9
  • Type

    conf

  • DOI
    10.1109/ICME.2003.1221593
  • Filename
    1221593