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Clemens Seibold, Anna Hilsmann and Peter Eisert
Detecting morphed face images has become an important task to maintain the trust in automated verification systems based on facial images, e.g., at automated border control gates. Deep Neural Network (DNN)-based detectors have shown remarkable results, b...
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Erion-Vasilis Pikoulis, Zafeiria-Marina Ioannou, Mersini Paschou and Evangelos Sakkopoulos
Face morphing poses a serious threat to Automatic Border Control (ABC) and Face Recognition Systems (FRS) in general. The aim of this paper is to present a qualitative assessment of the morphing attack issue, and the challenges it entails, highlighting b...
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