Facial liveness detection ensures that fraudsters cannot use high resolution print outs, masks or video playbacks to spoof face recognition systems used for authentication and identity verification. Active liveness detection relies on the user performing actions such as blinking, smiling or moving their heads back and forth to detect liveness, assuming that a photo cannot mimic the actions of a live person. Passive liveness does not. And when implementing a single frame passive facial liveness solution like ID R&D’s, the same selfie that is used for face recognition is used to determine liveness.
Biometrics provide an easy way to strengthen security during Identity verification and authentication — but it is increasingly clear that liveness detection is a critical piece of the solution. Users today have little tolerance for processes that require unnecessary time and effort. This is a real problem with active liveness detection.