Title
Novel Feature Vector For Image Authentication
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.
Publication Date
1-1-2003
Publication Title
Proceedings - IEEE International Conference on Multimedia and Expo
Volume
2
Number of Pages
II221-II224
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ICME.2003.1221593
Copyright Status
Unknown
Socpus ID
33746600181 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/33746600181
STARS Citation
Datta, A.; Lobo, N. D.V.; and Leeson, J. J., "Novel Feature Vector For Image Authentication" (2003). Scopus Export 2000s. 2014.
https://stars.library.ucf.edu/scopus2000/2014