AGVBench benchmarks 30 augmentation strategies for vein recognition and finds mixing methods improve accuracy but harm calibration and adversarial robustness.
Fvras-net: An embedded finger-vein recognition and antispoofing system using a unified cnn.IEEE Transactions on Instrumentation and Measurement, 69(11):8690–8701, 2020
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AGVBench: A Reliability-Oriented Benchmark of Data Augmentation for Vein Recognition
AGVBench benchmarks 30 augmentation strategies for vein recognition and finds mixing methods improve accuracy but harm calibration and adversarial robustness.