Synaptics today announced a new multi-factor biometric fusion engine for more convenient security on smartphones, tablets and notebook PCs. This is fully integrated into Synaptics Natural ID fingerprint sensors and leverages both fingerprint and facial biometrics. It combines authentication scores from multiple biometrics to determine verification. It will allow users to choose a modality based on preference, or one that is most convenient to environmental conditions such as when wearing gloves.
Synaptics believes that this system increases overall system security as both fingerprint and facial factors have to meet minimum threshold requirements before authentication. In addition, the fusion engine improves usability as lower individual verification thresholds still result in greater security.
“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, vice president 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 multi-factor fusion engine is backed by SentryPoint technology, offering OEMs a wide-range of unique and highly 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.