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

Preview

Text 10341-Volume19_Issue_2-01_paper.pdf - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (788kB) | Preview

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.

Actions (login required)

View Item