VeinKAN: A Finger Vein Recognition Model Based on Kolmogorov–Arnold Networks
Finger vein recognition has become a secure biometric method known for its robustness against spoofing and environmental variations. Traditional methods, which often rely on Multi-layer Perceptrons (MLPs), face limitations in adaptability stemming from fixed activation functions and linear weight co...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Sciendo
2025-01-01
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| Serie: | Applied Computer Systems |
| Soggetti: | |
| Accesso online: | https://doi.org/10.2478/acss-2025-0008 |
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