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Communication Dans Un Congrès Année : 2012

Hybrid Template Update System for Unimodal Biometric Systems

Résumé

Semi-supervised template update systems allow to automatically take into account the intra-class variability of the biometric data over time. Such systems can be inefficient by including too many impostor's samples or skipping too many genuine's samples. In the first case, the biometric reference drifts from the real biometric data and attracts more often impostors. In the second case, the biometric reference does not evolve quickly enough and also progressively drifts from the real biometric data. We propose a hybrid system using several biometric sub-references in order to increase per- formance of self-update systems by reducing the previously cited errors. The proposition is validated for a keystroke- dynamics authentication system (this modality suffers of high variability over time) on two consequent datasets from the state of the art.
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Dates et versions

hal-00714241 , version 1 (03-07-2012)

Identifiants

Citer

Romain Giot, Christophe Rosenberger, Bernadette Dorizzi. Hybrid Template Update System for Unimodal Biometric Systems. IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS 2012), Sep 2012, Washington, District of Columbia, USA, France. pp.1--7. ⟨hal-00714241⟩
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