About this document
Evaluating Perceptual Hashing on Social Media by suman.struc is a document available to read on EtoBox.
This paper evaluates seven state-of-the-art perceptual hashing algorithms for detecting image manipulation on social media platforms, specifically Facebook, Twitter, and Instagram. The study highlights the advantages of perceptual hashing over cryptographic hashing in identifying manipulated images while accommodating various image processing techniques used by these platforms. The authors propose a method for determining optimal detection thresholds for each algorithm to enhance the effectiveness of image
- Author
- suman.struc
- Language
- EN