Cargando…
A Novel Finger Vein Recognition Method Based on Aggregation of Radon-Like Features
Finger vein (FV) biometrics is one of the most promising individual recognition traits, which has the capabilities of uniqueness, anti-forgery, and bio-assay, etc. However, due to the restricts of imaging environments, the acquired FV images are easily degraded to low-contrast, blur, as well as seri...
Autores principales: | Yao, Qiong, Song, Dan, Xu, Xiang, Zou, Kun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7962657/ https://www.ncbi.nlm.nih.gov/pubmed/33800280 http://dx.doi.org/10.3390/s21051885 |
Ejemplares similares
-
Finger Vein Recognition with Personalized Feature Selection
por: Xi, Xiaoming, et al.
Publicado: (2013) -
Feature Extraction for Finger-Vein-Based Identity Recognition
por: Sidiropoulos, George K., et al.
Publicado: (2021) -
Finger vein recognition based on bilinear fusion of multiscale features
por: Ma, Bin, et al.
Publicado: (2023) -
A Simple and Efficient Method for Finger Vein Recognition
por: Zhang, Zhongxia, et al.
Publicado: (2022) -
Robust Finger-vein ROI Localization Based on the 3σ Criterion Dynamic Threshold Strategy
por: Yao, Qiong, et al.
Publicado: (2020)