Abstract
Biometric authentication through typing dynamics offers security for more systems, coupled with the traditional login and password, as it associates authentication with biometric factors. This work presents methodologies for biometric authentication performance from the middle of the typing dynamics, techniques for extracting characteristics after capturing the time in which to press and release as keys. The methods used were: Mahalanobis distance classifier (classification and authentication) and Random Forest (classification).
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