Video recognition algorithm of fake face based on SVM model
Runke Liu, Xiangling Liu, Lingling Xu, Zhenyao Qian · 2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT) · 2022
In response to more and more fake face videos in the network, we propose three feature detection methods based on image color histogram, SURF (Speeded Up Robust Features), and ELA (Error Level Analysis), SVM(Support Vector Machine) model training and verification methods, compared with the current common detection methods, this paper starts from the mechanism of fake face tampering, converts the processing of video streams into image features recognition, and analyzes various image features of faces. The recognition rate of face-swapping videos is significantly improved and the machine learning problem in the case of small samples is solved by using svm.