Back to articles
Volume: 33 | Article ID: art00002
Detecting Deepfakes with Haralick’s Texture Properties
  DOI :  10.2352/ISSN.2470-1173.2021.4.MWSF-271  Published OnlineJanuary 2021

In the recent years, the detection of deepfake videos has become a major topic in the field of digital media forensics, as the amount of such videos circulating on the internet has drastically risen. Providers of content, such as Facebook and Amazon, have become aware of this new threat to spreading misinformation on the Internet. In this work, a novel forgery detection method based on the texture analysis known from image classification and segmentation is proposed. In the experimental results, its performance has shown to be comparable to related works.

Subject Areas :
Views 65
Downloads 23
 articleview.views 65
 articleview.downloads 23
  Cite this article 

Raphael Antonius Frick, Sascha Zmudzinski, Martin Steinebach, "Detecting Deepfakes with Haralick’s Texture Propertiesin Proc. IS&T Int’l. Symp. on Electronic Imaging: Media Watermarking, Security, and Forensics,  2021,  pp 271-1 - 271-7,

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2021
Electronic Imaging
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA