Perceptual hashing for image authentication : A survey

Ling DU*, Anthony T.S. HO, Runmin CONG

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

81 Citations (Scopus)

Abstract

Perceptual hashing is used for multimedia content identification and authentication through perception digests based on the understanding of multimedia content. This paper presents a literature review of image hashing for image authentication in the last decade. The objective of this paper is to provide a comprehensive survey and to highlight the pros and cons of existing state-of-the-art techniques. In this article, the general structure and classifications of image hashing based tamper detection techniques with their properties are exploited. Furthermore, the evaluation datasets and different performance metrics are also discussed. The paper concludes with recommendations and good practices drawn from the reviewed techniques.

Original languageEnglish
Article number115713
JournalSignal Processing: Image Communication
Volume81
Early online date6 Dec 2019
DOIs
Publication statusPublished - Feb 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 Elsevier B.V.

Keywords

  • Content authenticity analysis
  • Perceptual image hashing
  • Security
  • Tamper detection

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