We have released a series of 10 technical explanations on face recognition spoof detection (liveness detection) (including implementation code and measured values, available for free).
Swallow Incubate Co., Ltd. has published a series of 10 technical articles on the determination of impersonation (liveness detection) in facial recognition systems, accompanied by implementation code and actual measurement values, on the "Swallow Incubate Technical Blog." All articles are available for free.
Facial recognition is a technology that determines "who someone is," but it does not assess "whether that face is alive." When a standard facial recognition system is implemented using OpenCV and a printed photo of the person is presented, it can pass as the actual person.
This series is structured into four parts for those responsible for the design, implementation, and procurement of facial recognition systems:
1. Facial recognition alone cannot prevent impersonation (actual measurements of implementation and photo-based bypass).
2. Types of attacks and how to interpret accuracy (differences between FAR/FRR and APCER/BPCER; limitations of three simple liveness methods).
3. Actual measurement information necessary for consideration of implementation (design for on-premises, closed networks, and embedded systems; face detection at 13.5 fps on Raspberry Pi 5; SDK integration in 23 lines of C++/22 lines of C#; retrofitting to existing systems).
4. A checklist of 12 design items.
Reproduction procedures for attacks are not included. For details, please refer to the related links.

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