Paper
3 February 2023 Fake face detection by wavelet higher order statistics
Hongjun Wang, Liang Zhang
Author Affiliations +
Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 1251117 (2023) https://doi.org/10.1117/12.2660257
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China
Abstract
With the development of deep neural networks, the ability to generate fake faces has improved significantly. Although many fake generation algorithms appear to generate real faces, they do show artefacts in some areas that are not visible to the naked eye. In this paper, we use the feature extraction algorithm in image steganography to extract features, and at the same time, we use a simple classifier type classification. Compared with previous systems that require a large amount of labeled data input, our method achieves good results with only a small number of annotated training samples.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hongjun Wang and Liang Zhang "Fake face detection by wavelet higher order statistics", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 1251117 (3 February 2023); https://doi.org/10.1117/12.2660257
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KEYWORDS
Video

Facial recognition systems

Wavelets

Feature extraction

Image classification

Image compression

Image forensics

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