Abstract
This paper presents an efficient image authentication system. The authentication signature is extracted from WFA encoding of the image. For noises that are more textural rather than color-based, we transform the image using a Local-Binary-Pattern filter, which is then converted to automata. We present a technique that incorporates the weights of the WFA, unlike previous works.