Optimal Feature Analysis for Identification Based on Intracranial Brain Signals with Machine Learning Algorithms

Biometrics, e.g., fingerprints, the iris, and the face, have been widely used to authenticate individuals. However, most biometrics are not cancellable, i.e., once these traditional biometrics are cloned or stolen, they cannot be replaced easily. Unlike traditional biometrics, brain biometrics are e...

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Detalles Bibliográficos
Autores principales: Li, Ming, Qi, Yu, Pan, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376518/
https://www.ncbi.nlm.nih.gov/pubmed/37508828
http://dx.doi.org/10.3390/bioengineering10070801

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376518/
https://www.ncbi.nlm.nih.gov/pubmed/37508828
http://dx.doi.org/10.3390/bioengineering10070801

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