A fuzzy system for three-factor, non-textual authentication

Abstract

As text-based authentication has had its critiques, non-textual techniques have been suggested throughout the last two decades. However, it is only lately, with the wide-spread adoption of smartphones and tablet devices that they have found a compelling application. Non-textual authentication may be faster and more secure and it also introduces a new paradigm for the authentication decision. We present a three factor system based on facial recognition, gesture and device ID and we define a fuzzy matching engine to handle authentication. Preliminary results indicate that such an approach can be fast and user-friendly.