NDLI: Hybrid template update system for unimodal biometric systems

Content Provider	IEEE Xplore Digital Library
Author	Giot, R. Rosenberger, C. Dorizzi, B.
Copyright Year	2012
Description	Author affiliation: Université de Caen, UMR 6072 GREYC, ENSICAEN, UMR 6072 GREYC, CNRS, UMR 6072 GREYC (Giot, R.; Rosenberger, C.) \|\| Institut Mines-Telecom sudParis, UMR 5157 SAMOVAR (Dorizzi, B.)
Abstract	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 performance 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.
Starting Page	1
Ending Page	7
File Size	1116125
Page Count	7
File Format	PDF
ISBN	9781467313841
e-ISBN	9781467313858
e-ISBN	9781467313834
DOI	10.1109/BTAS.2012.6374539
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Biometrics (access control) Biological system modeling Magnetic resonance Authentication Nickel Bioinformatics
Content Type	Text
Resource Type	Article

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