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Erschienen in:
Occlusion-Robust Face Detection Using Shallow and Deep Proposal Based Faster R-CNN Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

A Performance Evaluation of Local Descriptors, Direction Coding and Correlation Filters for Palm Vein Recognition

verfasst von : Jingting Lu, Hui Ye, Wei Jia, Yang Zhao, Hai Min, Wenxiong Kang, Bob Zhang

Erschienen in: Biometric Recognition

Verlag: Springer International Publishing

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Abstract

As one of new-emerging biometrics techniques, palm vein recognition has received wide attentions recently. In recent years, local descriptor, direction coding and correlation filters-based methods are popular for palmprint, palm vein, and finger vein recognition. In this paper, we make a performance evaluation for palm vein recognition using these methods. The experimental results show that the methods based on direction information can achieve better recognition performance.

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Vorheriges Kapitel Finger Vein Recognition via Local Multilayer Ternary Pattern
Nächstes Kapitel Enlargement of the Hand-Dorsa Vein Database Based on PCA Reconstruction
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Metadaten
Titel
A Performance Evaluation of Local Descriptors, Direction Coding and Correlation Filters for Palm Vein Recognition
verfasst von
Jingting Lu
Hui Ye
Wei Jia
Yang Zhao
Hai Min
Wenxiong Kang
Bob Zhang
Copyright-Jahr
2016
Buch
Biometric Recognition

Print ISBN: 978-3-319-46653-8

Electronic ISBN: 978-3-319-46654-5

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-46654-5_31