| Popis: |
A unique method for biometric authentication is through the mouse gesture of an individual, though this technique, the movement of mouse as a pointing device is assessed, two types of authentication are recognized, static and continual. The most prominently utilized system is continual. Static authentication has been slow to develop, whereas continual systems have rapidly evolved. To solidify effectiveness of authentication, we have introduced a new model which is robust. In this approach, user draws a gesture using mouse. These gestures are collected and evaluation through a cover markov model classifier, a remarkable consistency in mouse gesture systems, in regards to False Rejection Ratio and False Acceptance Ratio in comparison to conventional systems. From the results, one can observe that there is improvement in terms of precision and authentication in comparison with conventional systems. The report concludes, as we believe the first time in history, that a mouse gesture system successfully recognized its purpose accurately. |
