An Attention-Based Deep Regional Learning Model for Enhanced Finger Vein Identification
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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/8572/1/J15753_aac300d0e453cca2bcb3c5f096e94385.pdf http://eprints.uthm.edu.my/8572/ https://doi.org/10.18280/ts.390611 |
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