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Pattern Analysis and Applications
Erschienen in: Pattern Analysis and Applications 4/2014

01.11.2014 | Theoretical Advances

Finger-vein network enhancement and segmentation

verfasst von: Jinfeng Yang, Yihua Shi

Erschienen in: Pattern Analysis and Applications | Ausgabe 4/2014

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Abstract

Recently, an emerging biometric recognition based on human finger-vein patterns has received considerable attention. Due to light attenuation in imaging finger tissues, the finger-vein imagery is often seriously degraded. This makes network-based finger-vein feature representation greatly difficult in practice. In order to obtain perfect finger-vein networks, in this paper, we propose a novel scheme for venous region enhancement and finger-vein network segmentation. First, a method aimed at scattering removal, directional filtering and false vein information suppression is put forward to effectively enhance finger-vein images. Then, to achieve the high-fidelity extraction of finger-vein networks in an automated manner, a matting-based segmentation approach is presented considering the variations of veins in intensity and diameter. Extensive experiments are finally conducted to validate the proposed method.
Vorheriger Artikel Facial expression recognition based on meta probability codes
Nächster Artikel VE dimension induced by Bayesian networks over the boolean domain

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Metadaten
Titel
Finger-vein network enhancement and segmentation
verfasst von
Jinfeng Yang
Yihua Shi
Publikationsdatum
01.11.2014
Verlag
Springer London
Erschienen in
Pattern Analysis and Applications / Ausgabe 4/2014
Print ISSN: 1433-7541
Elektronische ISSN: 1433-755X
DOI
https://doi.org/10.1007/s10044-013-0325-y

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