A texture based image signature using second order statistics characterisation

Abstract

This paper develops a scheme for semi-fragile image authentication based on texture features and digital signature. It can detect and locate malicious manipulations made to individual image blocks, and verify the integrity of the overall image. It makes use of the invariance of Second Order Statistics (SOS) on adjacent pixels to geometric transformations which are considered as content preserving modifications. A set of characteristics are extracted from each block, then processed to form a hash to be embedded in an other distant block. Furthermore, a cryptographic digital signature is incrementally formed, in a CBC manner that renders the scheme resistant to content cutting and pasting attacks. © Springer-Verlag Berlin Heidelberg 2007.