Optimized Classifier Learning for Face Recognition Performance Boost in Security and Surveillance Applications

Face recognition has become an integral part of modern security processes. This paper introduces an optimization approach for the quantile interval method (QIM), a promising classifier learning technique used in face recognition to create face templates and improve recognition accuracy. Our research...

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Detalles Bibliográficos
Autores principales: Poměnková, Jitka, Malach, Tobiáš
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422394/
https://www.ncbi.nlm.nih.gov/pubmed/37571795
http://dx.doi.org/10.3390/s23157012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422394/
https://www.ncbi.nlm.nih.gov/pubmed/37571795
http://dx.doi.org/10.3390/s23157012

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