Face morphing attacks: Investigating detection with humans and computers.

ABSTRACT:

Background

In recent years, fraudsters have begun to use readily accessible digital manipulation techniques in order to carry out face morphing attacks. By submitting a morph image (a 50/50 average of two people's faces) for inclusion in an official document such as a passport, it might be possible that both people sufficiently resemble the morph that they are each able to use the resulting genuine ID document. Limited research with low-quality morphs has shown that human detection rates were poor but that training methods can improve performance. Here, we investigate human and computer performance with high-quality morphs, comparable with those expected to be used by criminals.

Results

Over four experiments, we found that people were highly error-prone when detecting morphs

SUBMITTER: Kramer RSS 

PROVIDER: S-EPMC6663958 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature