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When Morphs Look Better: Face Image Quality as a Training-Free Signal for Morphing Attack Detection
Face image quality assessment (FIQA) estimates the utility of a face image for automated face recognition and has been proposed as a morphing attack detection (MAD) signal that requires no morph-specific training. We evaluate 17 FIQA methods from all current FIQA categories on 20 morphing attack set
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