A deep ensemble learning method for single finger-vein identification

Finger-vein biometrics has been extensively investigated for personal verification. Single sample per person (SSPP) finger-vein recognition is one of the open issues in finger-vein recognition. Despite recent advances in deep neural networks for finger-vein recognition, current approaches depend on...

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Detalles Bibliográficos
Autores principales: Liu, Chongwen, Qin, Huafeng, Song, Qun, Yan, Huyong, Luo, Fen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876037/
https://www.ncbi.nlm.nih.gov/pubmed/36714153
http://dx.doi.org/10.3389/fnbot.2022.1065099

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876037/
https://www.ncbi.nlm.nih.gov/pubmed/36714153
http://dx.doi.org/10.3389/fnbot.2022.1065099

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