Images are considered to be natural carriers of information, and a largenumber of images are created, exchanged and are made available online. Apart fromcreating new images, the availability of number of duplicate copies of images is acritical problem. Hashing based image copy detection techniques are a promisingalternative to address this problem. In this approach, a hash is constructed by usinga set of unique features extracted from the image for identification. This articleprovides a comprehensive review of the state-of-the-art image hashing techniques.The reviewed techniques are categorized by the mechanism used and comparedacross a set of functionalandperformance parameters. The article finally highlightsthe current issues faced by such systems and possible future directions to motivatefurther research work.
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