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Privacy Preserving Hu’s Moments in Encrypted Domain

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Intelligent Systems Design and Applications (ISDA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 736))

Abstract

Privacy preserving image processing is an active area of research that focuses on ensuring security of sensitive images stored in an untrusted environment like cloud. Hu introduced the concept of moment invariants that are widely employed in pattern recognition. The moment invariants are used to represent the global shape features of an image that are insensitive to basic geometric transformations like rotation, scaling and translation. In view of this fact, this paper addresses the problem of moment invariants computation in an encrypted domain. A secure Hu’s moments computation is proposed based on a fully homomorphic encryption scheme. This method may be employed for feature extraction without revealing sensitive image information in an untrusted environment.

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Authors and Affiliations

  1. School of Information Technology and Engineering, VIT University, Vellore, Tamil Nadu, India

    G. Preethi & Aswani Kumar Cherukuri

Authors
  1. G. Preethi
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  2. Aswani Kumar Cherukuri
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Corresponding author

Correspondence to G. Preethi .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs , Auburn, Washington, USA

    Ajith Abraham

  2. Department of Computer Science, South Asian University, Chanakyapuri, Delhi, India

    Pranab Kr. Muhuri

  3. Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka , Durian Tunggal, Melaka, Malaysia

    Azah Kamilah Muda

  4. Machine Intelligence Research Labs , Auburn, Washington, USA

    Niketa Gandhi

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Preethi, G., Cherukuri, A.K. (2018). Privacy Preserving Hu’s Moments in Encrypted Domain. In: Abraham, A., Muhuri, P., Muda, A., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2017. Advances in Intelligent Systems and Computing, vol 736. Springer, Cham. https://doi.org/10.1007/978-3-319-76348-4_32

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  • DOI: https://doi.org/10.1007/978-3-319-76348-4_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76347-7

  • Online ISBN: 978-3-319-76348-4

  • eBook Packages: EngineeringEngineering (R0)

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