Konferenzbeitrag
Style Your Face Morph and Improve Your Face Morphing Attack Detector
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Datum
2019
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Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
A morphed face image is a synthetically created image that looks so similar to the faces
of two subjects that both can use it for verification against a biometric verification system. It can be
easily created by aligning and blending face images of the two subjects. In this paper, we propose
a style transfer based method that improves the quality of morphed face images. It counters the
image degeneration during the creation of morphed face images caused by blending. We analyze
different state of the art face morphing attack detection systems regarding their performance against
our improved morphed face images and other methods that improve the image quality. All detection
systems perform significantly worse, when first confronted with our improved morphed face images.
Most of them can be enhanced by adding our quality improved morphs to the training data, which
further improves the robustness against other means of quality improvement.