Component-based face recognition using statistical pattern matching analysis

The aim of this research is to develop a fusion concept to component-based face recognition algorithms for features analysis of binary facial components (BFCs), which are invariant to illumination, expression, pose variations and partial occlusion. To analyze the features, using statistical pattern...

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Detalles Bibliográficos
Autores principales: Paul, Sushil Kumar, Bouakaz, Saida, Rahman, Chowdhury Mofizur, Uddin, Mohammad Shorif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2020
Materias:
Short Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368618/
https://www.ncbi.nlm.nih.gov/pubmed/32837298
http://dx.doi.org/10.1007/s10044-020-00895-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368618/
https://www.ncbi.nlm.nih.gov/pubmed/32837298
http://dx.doi.org/10.1007/s10044-020-00895-4

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