Finger-Vein Recognition Using Heterogeneous Databases by Domain Adaption Based on a Cycle-Consistent Adversarial Network.

Noh, Kyoung Jun; Choi, Jiho; Hong, Jin Seong; Park, Kang Ryoung

Noh, Kyoung Jun; Choi, Jiho; Hong, Jin Seong; Park, Kang Ryoung.

Afiliação

Noh KJ; Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro, 1-gil, Jung-gu, Seoul 04620, Korea.
Choi J; Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro, 1-gil, Jung-gu, Seoul 04620, Korea.
Hong JS; Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro, 1-gil, Jung-gu, Seoul 04620, Korea.
Park KR; Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro, 1-gil, Jung-gu, Seoul 04620, Korea.

Sensors (Basel) ; 21(2)2021 Jan 13.

Article em En | MEDLINE | ID: mdl-33451009

Assuntos

Dedos; Veias; Bases de Dados Factuais; Hong Kong; Humanos

Palavras-chave

HKPolyU-DB; SDUMLA-HMT-DB; camera position; cycle-consistent adversarial networks; domain adaptation; finger position; finger-vein recognition; heterogeneous database; lighting; unobserved database

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Veias / Dedos Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article

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