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

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.

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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,  https://doi.org/10.2352/ISSN.2470-1173.2021.4.MWSF-271

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