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A Texture Based Image Signature Using Second Order Statistics Characterisation

  • Conference paper
On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops (OTM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4805))

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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.

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References

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Authors and Affiliations

  1. LIRE Lab, Vision & Infography group, Computer Science Dept, Mentouri University, Algeria

    A. Samia Boucherkha & Mohamed Benmohamed

Authors
  1. A. Samia Boucherkha
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  2. Mohamed Benmohamed
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Editor information

Robert Meersman Zahir Tari Pilar Herrero

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© 2007 Springer-Verlag Berlin Heidelberg

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Boucherkha, A.S., Benmohamed, M. (2007). A Texture Based Image Signature Using Second Order Statistics Characterisation. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops. OTM 2007. Lecture Notes in Computer Science, vol 4805. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76888-3_22

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  • DOI: https://doi.org/10.1007/978-3-540-76888-3_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76887-6

  • Online ISBN: 978-3-540-76888-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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