Biometric authentications methods like fingerprint scanners have slowly made it to majority of smartphones adding at least basic level of security for users. However, attackers have found ways to bypass fingerprint scanners on smartphones that gives them access to the device. Ahead of CES 2017, Synaptics has come out with a new system that combines fingerprint authentication and facial recognition for enhanced security and improved usability.
The all-new multi-factor biometric fusion engine will be integrated into Synaptics Natural ID fingerprint sensors which will use both fingerprint and facial biometrics. The biggest advantage of the new fusion system is that it lets users choose a modality based on preference or one that can be convenient at that moment. With the new system, users get an extra layer of security as both fingerprint and facial factors have to meet minimum threshold requirements before authentication. The Synaptics Natural ID fingerprint sensors can be used on smartphones, tablets, and PCs.
The company explains that the Synaptics multi-factor fusion engine is backed by SentryPoint technology, which includes high secure authentication features like Quantum Matcher with PurePrint anti-spoof technology. The PurePrint examines fingerprint images using unique artificial intelligence technology to distinguish between fake and actual fingers. With the new Synaptics multi-factor biometric fusion engine, facial recognition also uses anti-spoofing tools including the ability to check for combinations of eye blinking and head movements for added security. Synaptics has partnered with KeyLemon, a camera-based facial recognition and authentication, to integrate facial biometrics with Natural ID fingerprint authentication.
