<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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 &amp; performance parameters. The article finally highlights the current issues faced by such systems and possible future directions to motivate further research work.</p></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.

A Review of Hashing based Image Copy Detection Techniques

Department of Computer Engineering & Applications

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"A Review of Hashing based Image Copy Detection Techniques"}

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...

A Review of Hashing based Image Copy Detection Techniques

Online veröffentlicht: 18. Juni 2019

Seitenbereich: 3 - 27

Eingereicht: 01. Nov. 2018

Akzeptiert: 25. März 2019

DOI: https://doi.org/10.2478/cait-2019-0012

Schlüsselwörter
Image forensics, Digital watermarking, Image copy detection, Hashing based image copy detection

© 2019 Mayank Srivastava et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

A Review of Hashing based Image Copy Detection Techniques

Online veröffentlicht: 18. Juni 2019

Seitenbereich: 3 - 27

Eingereicht: 01. Nov. 2018

Akzeptiert: 25. März 2019

DOI: https://doi.org/10.2478/cait-2019-0012

SchlüsselwörterImage forensics, Digital watermarking, Image copy detection, Hashing based image copy detection

© 2019 Mayank Srivastava et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Image forensics, Digital watermarking, Image copy detection, Hashing based image copy detection