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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| 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 |