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Found 5 papers, 3 papers with code
Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study
While feasible, digital attacks have limited applicability in attacking deployed systems, including face recognition systems, where an adversary typically has access to the input and not the transmission channel.
End-to-End Pore Extraction and Matching in Latent Fingerprints: Going Beyond Minutiae
Because pores are one of the most reliable features besides minutiae to identify latent fingerprints, we propose an end-to-end automatic pore extraction and matching system to analyze the utility of pores in latent fingerprint identification.
Automatic Latent Fingerprint Segmentation
We present a simple but effective method for automatic latent fingerprint segmentation, called SegFinNet.
Robust Minutiae Extractor: Integrating Deep Networks and Fingerprint Domain Knowledge
Further, our method finds minutiae sets that are better in terms of precision and recall in comparison with state-of-the-art on these two datasets.
