Sep 16, 2022 · A weighted sum-based score-level fusion of Demorphing and Deep Face Representations improves the morphing attack detection accuracy.
In this work, we apply a fusion of two differential morphing attack detection methods, i.e. Demorphing and Deep. Face Representations. Experiments are ...
This work applies a fusion of two differential morphing attack detection methods, i.e. Demorphing and Deep Face Representations, and results reveal that a ...
In addition, some works have been proposed that treat face demorphing as a technique to detect reference-based morphing attacks [37], [38] .
With the proposed fusion, a detection equal error rate of 4.9% is achieved, compared to detection equal error rates of 5.6% and 5.8% of the best individual ...
With the proposed fusion, a detection equal error rate of 4.9% is achieved, compared to detection equal error rates of 5.6% and 5.8% of the best individual ...
PDF | The vulnerability of facial recognition systems to face morphing attacks is well known. Many different approaches for morphing attack detection.
Jan 5, 2020 · It is shown that algorithms based on deep face representations can achieve very high detection performance (less than 3\%~\mbox{D-EER}) and robustness.
Missing: Fusion Demorphing
Fusion of Deep Features for Differential Face Morphing Attack Detection at Automatic Border Control Gates · Jag Mohan SinghRaghavendra Ramachandra. Computer ...
The no-reference morphing attack detection algorithm is designed to detect morphing in a single image, with a focus on mitigating the risks of accepting manipu-.