Projects by Tag: presentation-attack-detection — Biometric Anti-Spoofing, Liveness Detection, and Presentation Attack Countermeasures
Discover projects tagged presentation-attack-detection that implement biometric anti-spoofing, face and fingerprint liveness detection, and PAD countermeasures using machine learning and sensor fusion techniques. This curated list of projects by tag highlights deep learning-based PAD models (CNNs, transformers), traditional feature-based approaches, dataset-driven benchmarks (OULU-NPU, CASIA, Replay-Attack), and real-world deployments for mobile authentication, KYC, and secure access control. Use the filtering UI to narrow results by algorithm, modality, dataset, license, or deployment platform, review code, papers, and evaluation metrics, and compare solutions to find production-ready or research-grade implementations. Explore, evaluate, and contribute to projects that advance presentation-attack-detection best practices — view source, reproduce results, and integrate proven PAD components into your biometric systems.