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.

翻译：我们提出了一种高性能的指纹活体特征提取技术，该技术在LivDet 2023指纹表示挑战赛中荣获第一名。此外，我们开发了一套实用的指纹识别系统，准确率达94.68%，并在LivDet 2023动作活体检测比赛中取得第二名。通过研究多种方法（尤其是风格迁移），我们证明了在训练数据有限的情况下，该方法在准确性和泛化能力方面的提升。因此，我们的方法在LivDet 2023挑战赛中达到了最先进的性能。