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