BIOGLYPH: biometric identification in pervasive environments

TLDR: A system developed to identify and authenticate individuals based on their signatures and/or handwriting by integrating unique data acquisition and processing techniques and using the self-learning database solutions for achieving accurate results.

Abstract: Despite the wide appreciation of biometric principles in security applications, biometric solutions are far from being affordable and available "on demand" anytime and anywhere. Many security biometric solutions require dedicated devices for data acquisition delaying their deployment and limiting the scope. This paper introduces a system developed to identify and authenticate individuals based on their signatures and/or handwriting. The issues of pervasive services are addressed (i) by integrating unique data acquisition and processing techniques which are capable of communicating with a variety of off-the-shelf devices such as pressure sensitive pens, mice, and touch pads, and (ii) by using the self-learning database solutions for achieving accurate results. Aiming to show the architecture of a pervasive biometric system, this paper does not go into technical details of methods and structures.