Images are considered to be natural carriers of information, and a large number of images are created, exchanged and are made available online. Apart from creating new images, the availability of number of duplicate copies of images is a critical problem. Hashing based image copy detection techniques are a promising alternative to address this problem. In this approach, a hash is constructed by using a set of unique features extracted from the image for identification. This article provides a comprehensive review of the state-of-the-art image hashing techniques. The reviewed techniques are categorized by the mechanism used and compared across a set of functional & performance parameters. The article finally highlights the current issues faced by such systems and possible future directions to motivate further research work.
CITATION STYLE
Srivastava, M., Siddiqui, J., & Ali, M. A. (2019). A review of hashing based image copy detection techniques. Cybernetics and Information Technologies, 19(2), 3–27. https://doi.org/10.2478/cait-2019-0012
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