A robust technique for copy-move forgery detection from small and extremely smooth tampered regions based on the DHE-SURF features and mDBSCAN clustering-Reference-Cited by-同舟云学术

A robust technique for copy-move forgery detection from small and extremely smooth tampered regions based on the DHE-SURF features and mDBSCAN clustering

Published:2020-01-29 Issue: Volume: Page:1-24
ISSN:0045-0618
Container-title:Australian Journal of Forensic Sciences
language:en
Short-container-title:Australian Journal of Forensic Sciences

Author:

Bilal Muhammad¹,Habib Hafiz Adnan²,Mehmood Zahid²,Yousaf Rehan Mehmood¹,Saba Tanzila³,Rehman Amjad³

Affiliation:

1. Department of Software Engineering, University of Engineering and Technology, Taxila, Pakistan

2. Department of Computer Engineering, University of Engineering and Technology, Taxila, Pakistan

3. Artificial Intelligence and Data Analytics (AIDA) Lab, CCIS Prince Sultan University, Riyadh, Saudi Arabia

Publisher

Informa UK Limited

Subject

Pathology and Forensic Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/00450618.2020.1715479

Reference37 articles.

1. Extended Self in a Digital World: Table 1.

2. Data hiding technique in steganography for information security using number theory

3. An Evaluation of Popular Copy-Move Forgery Detection Approaches

4. A bibliography of pixel-based blind image forgery detection techniques

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