Textural features extraction for image integrity verification

Soft authentication intends to distinguish specific acceptable image manipulations from malicious ones. In this article, we propose a soft authentication scheme 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 on adjacent pixels to geometric transformations which are generally 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 to render the scheme resistant to content cutting and pasting attacks. Experimental results show the efficiency of the proposed scheme.