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Published in:
EEG-Based Biometric Verification Using Siamese CNNs Read chapter Read first chapter

2019 | OriginalPaper | Chapter

On the Cross-Finger Similarity of Vein Patterns

Authors : Emanuela Piciucco, Ridvan Salih Kuzu, Emanuele Maiorana, Patrizio Campisi

Published in: New Trends in Image Analysis and Processing – ICIAP 2019

Publisher: Springer International Publishing

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Abstract

Biometric recognition based on finger-vein patterns is gaining more and more attention, as several approaches have been recently proposed to extract discriminative features from vascular structures. In this paper we investigate the similarity between vein patterns of symmetric fingers of the left and right hand of a subject. More in detail, we analyze the performance achievable when using symmetric fingers and geometry- or deep-learning-based feature extraction methods for recognition. A database with acquisitions from left and right index, medium, and ring fingers of 106 subjects is exploited for experimental tests.

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previous chapter EEG-Based Biometric Verification Using Siamese CNNs
next chapter Improving Multi-scale Face Recognition Using VGGFace2
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Metadata
Title
On the Cross-Finger Similarity of Vein Patterns
Authors
Emanuela Piciucco
Ridvan Salih Kuzu
Emanuele Maiorana
Patrizio Campisi
Copyright Year
2019
Book
New Trends in Image Analysis and Processing – ICIAP 2019

Print ISBN: 978-3-030-30753-0

Electronic ISBN: 978-3-030-30754-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-30754-7_2

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