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

• 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; http://eprints.uthm.edu.my/8778/; https://doi.org/10.18280/ts.390611

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...