A Review of Hashing based Image Copy Detection Techniques

Srivastava, Mayank and Siddiqui, Jamshed and Ali, Mohammad Athar (2019) A Review of Hashing based Image Copy Detection Techniques. CYBERNETICS AND INFORMATION TECHNOLOGIES, 19 (2). pp. 1-27. ISSN 1311-9702

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Image forensics, Digital watermarking, Image copy detection, Hashing based image copy detection
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: School of Science > Applied Computing
Depositing User: Athar Ali
Date Deposited: 26 Jul 2019 10:31
Last Modified: 26 Jul 2019 10:31
URI: http://bear.buckingham.ac.uk/id/eprint/390

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