Volume 17 No 3 (2019)
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Using Content and Trace Feature Extractors for Exposing Fake Faces through Deep Learning
ADITYA AGNIHOTRI
Abstract
In this procedure, we make an effort to address the effect of these variables on the identification of a photo
from a face sketch using a cascaded static and dynamic local feature extraction approach. to ensure that the
feature vectors created are based on the appropriate patches. Along with that approach, we include the
closest neighbour technique for matching sketches and photos, which concatenates the feature vectors
obtained from local static extraction. Following the extraction of the image's characteristics, the most
comparable images are narrowed down based on their closes neighbours. Eventually, feature vectors from the
local dynamic extraction approach are used to rematch these images. The closest neighbour technique is used
to match the feature vectors.The primary goals of this method are to increase the detection system's precision
as well as identification rates and feature stability.
Keywords
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