The Synaptics multi-factor fusion engine combines authentication scores from multiple biometrics to determine verification. This increases overall system security as both fingerprint and facial factors have to meet minimum threshold requirements before authentication.
Synaptics multi-factor fusion engine is backed by SentryPoint technology, offering OEMs a range of secure authentication features including Quantum Matcher with PurePrint anti-spoof technology. PurePrint examines fingerprint images using unique artificial intelligence technology to distinguish between fake and actual fingers. Facial recognition also uses anti-spoofing tools, including the ability to check for combinations of eye blinking and head movements.
“Synaptics’ Natural ID fingerprint sensors are already significantly more secure and convenient than typed passwords, and by adding multi-factor biometrics users achieve a whole new level of exceptional device- and application-level authentication,” said Anthony Gioeli, VP of marketing, Biometrics Product Division, Synaptics. “Phase one of our fusion engine is focused on fingerprint and facial, and future iterations will include additional biometric and security factors.”
Synaptics partnered with KeyLemon, a leader in continuous camera-based facial recognition and authentication, to integrate secure facial biometrics with Natural ID fingerprint authentication.