A texture based image signature using second order statistics characterisation

  • Authors:

  • Samia Boucherkha;Mohamed Benmohamed

  • Affiliations:

  • LIRE Lab, Vision & Infography group, Computer Science Dept, Mentouri University, Algeria;LIRE Lab, Vision & Infography group, Computer Science Dept, Mentouri University, Algeria

  • Venue:
  • OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems - Volume Part I
  • Year:
  • 2007

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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.