Keystroke Dynamics and Finger Knuckle Imaging Fusion for Continuous User Verification

Abstract

Part 2: Biometrics and Pattern Recognition ApplicationsInternational audienceThe paper presents a novel user identity verification method based on fusion of keystroke dynamics and knuckle images analysis. In our solution the verification is performed by an ensemble of classifiers used to verify the identity of an active user. A proposed verification module works on a database which comprises of data representing keystroke dynamics and knuckle images. The usability of the introduced approach was tested experimentally. The obtained results confirm that the proposed fusion method gives better results than the use of a single biometric feature only. For this reason our method can be used for increasing a protection level of computer resources against impostors. The paper presents preliminary research conducted to assess the potential of biometric methods fusion

The Method of Automatic Knuckle Image Acquisition for Continuous Verification Systems

“…For the tests of continuous multi-biometric system, there were selected systems combining the analysis of dynamics of typing on the keyboard with the analysis of the image of the knuckle. The methods were developed by the Author and described in detail in [12,13,15]. In the proposed methods, the verification of user's identity is performed in two stages.…”

“…The use of this feature consists of allowing the analysis of skin furrows visible on the surface of a knuckle. Examples of methods used for analysing a knuckle can be found in [12][13][14][15]. Unfortunately, also in the case of this feature, the acquisition requires putting a hand in a special scanner.…”