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Finger Vein Recognition Robustness Analysis by Giuseppe Laria is a document available to read on EtoBox.
What is Finger Vein Recognition Robustness Analysis about?
This study evaluates the robustness of finger vein recognition methods, comparing a traditional approach with deep learning techniques across different datasets. It introduces a novel vein quality metric to assess image clarity and complexity, demonstrating significant improvements in recognition reliability. The findings highlight the need for better quality metrics tailored to finger vein characteristics to enhance biometric system performance.
- Author
- Giuseppe Laria
- Language
- EN