A pen input on-line signature verifier integrating position, pressure and inclination trajectories

Personal identity verification has a great variety of applications includin g access to computer terminals, buildings, credit card verification as well as EC. Algorithm for personal identity verification call be roughly classi fied into four categories depending on static/dynamic and biometric/physica l or knowledge based. Finger prints, iris, retina, DNA, face, blood vessels , for instance, are static and biometric. Algorithms which are biometric an d dynamic include lip movements, body movements and on-line signatures. Sch emes which use passwords are static and knowledge based, whereas methods us ing magnetic cards and IC cards are physical. Each scheme naturally has its own advantages and disadvantages. A new algorithm is proposed for pen-inpu t on-line signature verification incorporating pen-position, pen-pressure a nd pen-inclinations trajectories. A preliminary experiment is performed on a data base consisting uf 293 genuine writings and 540 forgery writings, fr om 8 individuals. Average correct verification late was 97.6% whereas avera ge forgery refection rate was 98.7%. Since no fine tuning was done, this pr eliminary result looks very promising.