AI RESEARCH
CAAP: Capture-Aware Adversarial Patch Attacks on Palmprint Recognition Models
arXiv CS.CV
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ArXi:2604.06987v1 Announce Type: new Palmprint recognition is deployed in security-critical applications, including access control and palm-based payment, due to its contactless acquisition and highly discriminative ridge-and-crease textures. However, the robustness of deep palmprint recognition systems against physically realizable attacks remains insufficiently understood. Existing studies are largely confined to the digital setting and do not adequately account for the texture-dominant nature of palmprint recognition or the distortions