Finger Vein Verification on Different Datasets Based on Deep Learning with Triplet Loss

In this study, deep learning and triplet loss function methods are used for finger vein verification research, and the model is trained and validated between different kinds of datasets including FV-USM, HKPU, and SDUMLA-HMT datasets. This work gives the accuracy and other evaluation indexes of fing...

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Detalles Bibliográficos
Autores principales: Li, Jun, Yang, Luokun, Ye, Mingquan, Su, Yang, Liu, Juntong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613401/
https://www.ncbi.nlm.nih.gov/pubmed/36311254
http://dx.doi.org/10.1155/2022/4868435

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613401/
https://www.ncbi.nlm.nih.gov/pubmed/36311254
http://dx.doi.org/10.1155/2022/4868435

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