Boosting Generalization with Adaptive Style Techniques for Fingerprint Liveness Detection
We introduce a high-performance fingerprint liveness feature extraction technique that secured first place in LivDet 2023 Fingerprint Representation Challenge. Additionally, we developed a practical fingerprint recognition system with 94.68% accuracy, earning second place in LivDet 2023 Liveness Det...
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Zusammenfassung: | We introduce a high-performance fingerprint liveness feature extraction
technique that secured first place in LivDet 2023 Fingerprint Representation
Challenge. Additionally, we developed a practical fingerprint recognition
system with 94.68% accuracy, earning second place in LivDet 2023 Liveness
Detection in Action. By investigating various methods, particularly style
transfer, we demonstrate improvements in accuracy and generalization when faced
with limited training data. As a result, our approach achieved state-of-the-art
performance in LivDet 2023 Challenges. |
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DOI: | 10.48550/arxiv.2310.13573 |