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指纹活体特征提取技术，该技术在2023年指纹活体检测竞赛（LivDet 2023）指纹表征挑战赛中荣获第一名。此外，我们开发了一套实用指纹识别系统，准确率达94.68%，并在LivDet 2023活体检测实战赛中取得第二名。通过探究多种方法，尤其侧重风格迁移技术，我们论证了在训练数据有限的情况下，该方法在准确率和泛化能力上的提升效果。最终，我们的方法在LivDet 2023挑战赛中实现了最先进的性能表现。