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A multimodal hand-based verification system with an aliveness-detection module

Un système multimodal de vérification basé sur la main, accompagné d’un module de détection du caractère vivant

  • Multimodal Biometrics
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Abstract

This paper presents a multimodal biometrie verification system based on the following hand features: palmprint, four digitprints and four fingerprints. The features are obtained using the Karhunen-Loève transform based approach, and information fusion at the matching-score level was applied. We experimented with different resolutions of the regions of interest, different numbers of features and several normalization and fusion techniques at the matching-score level. To increase the reliability of the system to spoof attacks we included an aliveness-detection module based on thermal images of the hand dor sa. The verification performance when using a system configuration with optimum parameters, i.e., resolution, number of features, normalization and fusion technique, showed an equal error rate (EER) of 0.0020%, which makes the system appropriate for the implementation of high-security biometric systems.

Résumé

Dans ce papier est présenté un système de vérification biométrique multimodal qui repose sur les éléments de la main suivants: empreinte palmaire, empreintes de quatre doigts et quatre empreintes digitales. Les caractéristiques sont obtenues grâce à une approche reposant sur la transformée de Karhunen-Loève et une fusion d’information au niveau des degrés de pertinence (ORES) est effectuée. Les expériences reflètent différentes résolutions des régions d’intérêt, un nombre différent de caractéristiques et plusieurs techniques de normalisation et de fusion au niveau des scores. Pour augmenter la résistance du système aux imitations nous avons inclus un module qui permet de détecter si la main est vivante en utilisant des images thermiques du dos de la main. Les performances en vérification lorsqu On utilise un système optimal en terme de résolution, nombre de caractéristiques extraites, techniques de normalisation et fusion présentent un taux d’égale erreur (EER) de 0.0020%, ce qui en fait un système approprié à l’implementation de systèmes biométriques de haute sécurité.

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Authors and Affiliations

  1. Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, 1000, Ljubljana, Slovenia

    Nikola Pavešić & Tadej Savič

  2. Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000, Zagreb, Croatia

    Slobodan Ribarić & Ivan Fratrić

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  1. Nikola Pavešić
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  2. Tadej Savič
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  3. Slobodan Ribarić
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  4. Ivan Fratrić
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Pavešić, N., Savič, T., Ribarić, S. et al. A multimodal hand-based verification system with an aliveness-detection module. Ann. Telecommun. 62, 130–155 (2007). https://doi.org/10.1007/BF03253253

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  • DOI: https://doi.org/10.1007/BF03253253

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