In this paper we investigate the impact on performance of biometric fusion techniques for palm-vein-based recognition systems. In more detail, feature-level fusion, score-level fusion as well as decision-level fusion approaches are applied in a biometric system exploiting patterns of palm veins for user recognition, and both local binary pattern and local derivative pattern features for template generation. The obtained results show that a significant performance improvement can be achieved when the aforementioned feature extraction approaches are jointly taken into account, compared to the case where no biometric fusion is performed.

Piciucco, E., Maiorana, E., Campisi, P. (2017). Biometric fusion for palm-vein-based recognition systems. In Communications in Computer and Information Science, Springer (pp.18-28). Springer Verlag [10.1007/978-3-319-67639-5_3].

Biometric fusion for palm-vein-based recognition systems

Piciucco, Emanuela;Maiorana, Emanuele;Campisi, Patrizio
2017-01-01

Abstract

In this paper we investigate the impact on performance of biometric fusion techniques for palm-vein-based recognition systems. In more detail, feature-level fusion, score-level fusion as well as decision-level fusion approaches are applied in a biometric system exploiting patterns of palm veins for user recognition, and both local binary pattern and local derivative pattern features for template generation. The obtained results show that a significant performance improvement can be achieved when the aforementioned feature extraction approaches are jointly taken into account, compared to the case where no biometric fusion is performed.
9783319676388
Piciucco, E., Maiorana, E., Campisi, P. (2017). Biometric fusion for palm-vein-based recognition systems. In Communications in Computer and Information Science, Springer (pp.18-28). Springer Verlag [10.1007/978-3-319-67639-5_3].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/325240
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