Finger-Vein Recognition Using Heterogeneous Databases by Domain Adaption Based on a Cycle-Consistent Adversarial Network

The conventional finger-vein recognition system is trained using one type of database and entails the serious problem of performance degradation when tested with different types of databases. This degradation is caused by changes in image characteristics due to variable factors such as position of c...

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Detalles Bibliográficos
Autores principales: Noh, Kyoung Jun, Choi, Jiho, Hong, Jin Seong, Park, Kang Ryoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828566/
https://www.ncbi.nlm.nih.gov/pubmed/33451009
http://dx.doi.org/10.3390/s21020524

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828566/
https://www.ncbi.nlm.nih.gov/pubmed/33451009
http://dx.doi.org/10.3390/s21020524

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