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2017 | OriginalPaper | Buchkapitel

Partial Matching of Finger Vein Patterns Based on Point Sets Alignment and Directional Information

verfasst von : Maria Frucci, Daniel Riccio, Gabriella Sanniti di Baja, Luca Serino

Erschienen in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Verlag: Springer International Publishing

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Abstract

In recent years finger vein authentication has gained an increasing attention, since it has shown the potential of providing high accuracy as well as robustness to spoofing attacks. In this paper we presented a new finger verification approach, which does not need precise segmentation of regions of interest (ROIs), as it exploits a co-registration process between two vessel structures. We tested the verification performance on the MMCBNU_6000 finger vein dataset, showing that this approach outperforms state of the art techniques in terms of Equal Error Rate.

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Titel: Partial Matching of Finger Vein Patterns Based on Point Sets Alignment and Directional Information
verfasst von: Maria Frucci
Daniel Riccio
Gabriella Sanniti di Baja
Luca Serino
Verlag: Springer International Publishing
Buch: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Print ISBN: 978-3-319-52276-0

Electronic ISBN: 978-3-319-52277-7

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-52277-7_3

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