AGVBench benchmarks 30 augmentation strategies for vein recognition and finds mixing methods improve accuracy but harm calibration and adversarial robustness.
Enhancement of finger-vein image by vein line tracking and adaptive gabor filtering for finger-vein recognition.Applied Mechanics and Materials, 145:219–223, 2012
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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.