Self-Supervised Learning Framework toward State-of-the-Art Iris Image Segmentation.

Putri, Wenny Ramadha; Liu, Shen-Hsuan; Aslam, Muhammad Saqlain; Li, Yung-Hui; Chang, Chin-Chen; Wang, Jia-Ching

Putri, Wenny Ramadha; Liu, Shen-Hsuan; Aslam, Muhammad Saqlain; Li, Yung-Hui; Chang, Chin-Chen; Wang, Jia-Ching.

Afiliación

Putri WR; Department of Computer Science and Information Engineering, National Center University, Taoyuan 32001, Taiwan.
Liu SH; Department of Computer Science and Information Engineering, National Center University, Taoyuan 32001, Taiwan.
Aslam MS; Department of Computer Science and Information Engineering, National Center University, Taoyuan 32001, Taiwan.
Li YH; AI Research Center, Hon Hai Research Institute, Taipei 114699, Taiwan.
Chang CC; Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan.
Wang JC; Department of Computer Science and Information Engineering, National Center University, Taoyuan 32001, Taiwan.

Sensors (Basel) ; 22(6)2022 Mar 09.

Article en En | MEDLINE | ID: mdl-35336305

Asunto(s)

Algoritmos; Iris; Iris/diagnóstico por imagen; Aprendizaje Automático Supervisado

Palabras clave

biometrics; data augmentation; generative adversarial network; image semantic segmentation; iris segmentation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Iris Tipo de estudio: Clinical_trials Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Suiza

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