An Attention-Based Deep Regional Learning Model for Enhanced Finger Vein Identification

An Attention-Based Deep Regional Learning Model for Enhanced Finger Vein Identification

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Finger vein biometrics is one of the most promising ways to identify a person because it can provide uniqueness, protection against forgery, and bioassay. Due to the limitations of the imaging environments, however, the finger vein images that are taken can quickly become low-contrast, blurry, and v...

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Bibliographic Details
Main Authors: Sulaiman, Dawlat Mustafa, Abdulazeez, Adnan Mohsin, Asaad Zebar, Dilovan, Zeebaree, Diyar Qader, Mostafa, Salama A., Saleem Sadiq, Shereen
Format: Article
Language:English
Published: IITA 2022
Subjects:
T Technology (General)
T175-178 Industrial research. Research and development
Online Access:http://eprints.uthm.edu.my/8778/1/J15753_aac300d0e453cca2bcb3c5f096e94385.pdf

Internet

http://eprints.uthm.edu.my/8778/1/J15753_aac300d0e453cca2bcb3c5f096e94385.pdf

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