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Fingerprint Presentation Attack Detector Using Global-Local Model
Feb. 21, 2024, 5:46 a.m. | Haozhe Liu, Wentian Zhang, Feng Liu, Haoqian Wu, Linlin Shen
cs.CV updates on arXiv.org arxiv.org
Abstract: The vulnerability of automated fingerprint recognition systems (AFRSs) to presentation attacks (PAs) promotes the vigorous development of PA detection (PAD) technology. However, PAD methods have been limited by information loss and poor generalization ability, resulting in new PA materials and fingerprint sensors. This paper thus proposes a global-local model-based PAD (RTK-PAD) method to overcome those limitations to some extent. The proposed method consists of three modules, called: 1) the global module; 2) the local module; …
abstract arxiv attacks automated cs.cv detection development global information loss materials paper presentation recognition sensors systems technology type vulnerability
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