A New Personal Verification Technique Using Finger-Knuckle Imaging

Doroz, Rafał; Wróbel, Krzysztof; Porwik, Piotr; Safaverdi, Hossein; Senejko, Michal; Jeżewski, Janusz; Popielski, Pawel; Wilczyński, Sławomir; Koprowski, Robert; Wróbel, Zygmunt

doi:10.1007/978-3-319-45246-3_49

Cited by 4 publications

(4 citation statements)

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“…The introduced approach is based on the fusion of keystroke dynamics and knuckle analysis. For the purpose of the fusion the biometric user verification methods were chosen that according to the [17] for keystroke based approach and [3] for finger knuckle pattern analysis perform better than other methods described in literature. User activity should be verified continuously, in the background, while a user is performing his everyday tasks.…”

Section: Proposed Biometric User Verification Systemmentioning

confidence: 99%

“…The keystroke verification system is based on three ensembles of classifiers EC a , a = 1, ..., 3. Each of them consists of four heterogeneous classifiers: Ψ (1) , Ψ (2) , Ψ (3) and Ψ (4) . The ensembles of classifiers EC a work simultaneously and each one of them is trained using a separate training set T S a (see Fig.…”

Section: Keystroke Based Subsystemmentioning

confidence: 99%

“…6 all stages of line extraction are shown. The detailed description of the acquisition procedure is presented in [3].…”

Section: Knuckle Analysis Subsystemmentioning

confidence: 99%

“…To increase a protection level the proposed in this paper approach combines the keystroke dynamics with another biometric method based on finger knuckle pattern recognition. Image acquisition is performed using a dedicated device especially designed for this purpose [3].…”

Section: Introductionmentioning

confidence: 99%

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Keystroke Dynamics and Finger Knuckle Imaging Fusion for Continuous User Verification

Wesołowski

Doroz

Wróbel

et al. 2017

Computer Information Systems and Industrial Management

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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

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Section: Proposed Biometric User Verification Systemmentioning

confidence: 99%