Histogram-based image hashing scheme robust against geometric deformations

Shijun Xiang, Hyoung Joong Kim, Jiwu Huang

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    94 Citations (Scopus)

    Abstract

    In this paper, we propose a robust image hash algorithm by using the invariance of the image histogram shape to geometric deformations. Robustness and uniqueness of the proposed hash function are investigated in detail by representing the histogram shape as the relative relations in the number of pixels among groups of two different bins. It is found from extensive testing that the histogram-based hash function has a satisfactory performance to various geometric deformations, and is also robust to most common signal processing operations thanks to the use of Gaussian kernel low-pass filter in the preprocessing phase.

    Original languageEnglish
    Title of host publicationMM and Sec'07 - Proceedings of the Multimedia and Security Workshop 2007
    Pages121-128
    Number of pages8
    DOIs
    Publication statusPublished - 2007
    EventMM and Sec'07 - 9th Multimedia and Security Workshop 2007 - Dallas, TX, United States
    Duration: 2007 Sept 202007 Sept 21

    Publication series

    NameMM and Sec'07 - Proceedings of the Multimedia and Security Workshop 2007

    Other

    OtherMM and Sec'07 - 9th Multimedia and Security Workshop 2007
    Country/TerritoryUnited States
    CityDallas, TX
    Period07/9/2007/9/21

    Keywords

    • Gaussian filter
    • Geometric deformation
    • Histogram
    • Image hashing
    • Robustness

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Software

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