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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Detalhes bibliográficos

Principais autores:	Liu Shuai, Liu Yuanning, Zhu Xiaodong, Huo Guang, Wu Zukang, Li Xinlong, Wang Chaoqun, Cui Jingwei
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2020-03-01
coleção:	Sensors
Assuntos:	heterogeneous iris one-to-one certification universal sensors quality fuzzy inference iris quality knowledge concept construction mechanism lightweight neural network multi-source feature fusion mechanism feedback learning mechanism
Acesso em linha:	https://www.mdpi.com/1424-8220/20/6/1785
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