An effective stroke feature selection method for online signature verification

Abstract

Signature is a behavioral trait of an individual and forms a special class of handwriting in which legible letters or words may not be exhibited. Dynamic signature verification (DSV) uses the behavioral biometrics of a hand-written signature to confirm the identity of a computer user. Signature verification technology requires primarily a digitizing tablet and a special pen connected to the Universal Serial Bus Port (USB port) of a computer. An individual can sign on the digitizing tablet using the special pen regardless of his signature size and position. The signature is characterized as pen-strokes consisting x, y coordinates and the data will be stored in the signature database. In this paper, I am describing the various feature of dynamic signature by considering their spatial and time domain characteristics. Individual strokes are identified by finding the points where there is a decrease in pen tip pressure, decrease in pen velocity, and rapid change in pen angle.