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A Methodology for Detecting Face Morphing Using One-To-Many Face Recognition Algorithms
Published Patent Application Number: US20250005912A1
Problem
Face morphing (two or more facial images are combined) is a known vulnerability to automated facial recognition. While face morphing has been used for benign entertainment purposes, it can be used for nefarious purposes such as identity fraud.
Invention
A morph detection method that uses one-to-many (1 :N) face recognition algorithms to detect the presence of face morphing under certain scenarios.
Potential Commercial Applications
- Detection of morphed images for organizations that accept user-submitted application photos during renewal processes.
- Adaptable methodology for eGate systems that can connect to backend databases.
Competitive Advantage
- User Convenience: Reduced false detection rates when compared to other conventional morph detection algorithms.
- Cost-Efficient: Can leverage existing one-to-many face recognition infrastructure by adapting this methodology.