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2019 | OriginalPaper | Buchkapitel

18. An Introduction to Vein Presentation Attacks and Detection

verfasst von : André Anjos, Pedro Tome, Sébastien Marcel

Erschienen in: Handbook of Biometric Anti-Spoofing

Verlag: Springer International Publishing

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Abstract

The domain of presentation attacks (PAs), including vulnerability studies and detection (PAD), remains very much unexplored by available scientific literature in biometric vein recognition. Contrary to other modalities that use visual spectral sensors for capturing biometric samples, vein biometrics is typically implemented with near-infrared imaging. The use of invisible light spectra challenges the creation of instruments, but does not render it impossible. In this chapter, we provide an overview of current landscape for PA manufacturing in possible attack vectors for vein recognition, describe existing public databases and baseline techniques to counter such attacks. The reader will also find material to reproduce experiments and findings for finger vein recognition systems. We provide this material with the hope that it will be extended to other vein recognition systems and improved in time.

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Vorheriges Kapitel Voice Presentation Attack Detection Using Convolutional Neural Networks

Nächstes Kapitel Presentation Attacks in Signature Biometrics: Types and Introduction to Attack Detection

https://www.idiap.ch/dataset/fvspoofingattack.

https://www.idiap.ch/dataset/vera-fingervein.

https://www.idiap.ch/dataset/vera-spoofingpalmvein.

https://www.idiap.ch/dataset/vera-palmvein.

Source code and results: https://pypi.org/project/bob.hobpad2.veins.

https://pypi.org/project/bob.bio.veins.

https://pypi.org/project/bob.bio.base.

https://pypi.python.org/pypi/bob.pad.vein.

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Titel: An Introduction to Vein Presentation Attacks and Detection
verfasst von: André Anjos
Pedro Tome
Sébastien Marcel
Verlag: Springer International Publishing
Buch: Handbook of Biometric Anti-Spoofing
Print ISBN: 978-3-319-92626-1

Electronic ISBN: 978-3-319-92627-8

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-319-92627-8_18

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