Authentication personal

This paper presents a boarding on biometric authentication through the Keystroke Dynamics that it intends to identify a person from the habitual rhythm to type your complete name in a conventional keyboard. Two features (e.g., durations of keystrokes, and latencies between keystrokes) and experiments using samples for genuines and impostors user were performed using two pattern classification techniques. The results show that the use of the Keystroke Dynamics is simple and efficient for personal authentication, getting optimum resulted using 90% of the features with 3,83% FRR and 0% FAR.