Heterogeneous Iris One-to-One Certification with Universal Sensors Based On Quality Fuzzy Inference and Multi-Feature Fusion Lightweight Neural Network

Due to the unsteady morphology of heterogeneous irises generated by a variety of different devices and environments, the traditional processing methods of statistical learning or cognitive learning for a single iris source are not effective. Traditional iris recognition divides the whole process int...

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Detalles Bibliográficos
Autores principales: Shuai, Liu, Yuanning, Liu, Xiaodong, Zhu, Guang, Huo, Zukang, Wu, Xinlong, Li, Chaoqun, Wang, Jingwei, Cui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146378/
https://www.ncbi.nlm.nih.gov/pubmed/32210211
http://dx.doi.org/10.3390/s20061785

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146378/
https://www.ncbi.nlm.nih.gov/pubmed/32210211
http://dx.doi.org/10.3390/s20061785

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