DYNAMIC HANDWRITTEN SIGNATURE BASED BIOMETRIC AUTHENTICATION FRAMEWORK
We developed the framework for biometric user authentication based on a dynamic handwritten signature recognition from a graphics tablet. We considered the definition of the dynamic handwritten signature by the set of discrete functions determined by the values of signals received through various channels. We developed the mathematical models and algorithms for signature receiving, training, and recognition modules. We presented the results of experimental studies for suggested models and algorithms. The framework can be used as a component of public service delivery and automated document flow systems.