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Boosting Generalization with Adaptive Style Techniques for Fingerprint Liveness Detection

Authors :
Zhu, Kexin
Lin, Bo
Qiu, Yang
Yule, Adam
Tang, Yao
Liang, Jiajun
Publication Year :
2023

Abstract

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.<br />Comment: 1st Place in LivDet2023 Fingerprint Representation Challenge

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2310.13573
Document Type :
Working Paper