The competitors are a mix of private companies and academic institutions. The German biometrics specialist has also placed first in prior LivDet challenges. Twenty-three teams participated in this year’s competition, and DERMALOG took both the first and second spot after submitting two separate Presentation Attack Detection (PAD) algorithms. The University’s LivDet competition is designed to find software solutions that are resistant to those attacks. Those attacks can be expensive and time consuming to execute at scale, but if done well, a fake finger can still be used to break into a smartphone, or some other device or facility secured with fingerprint recognition. In that regard, DERMALOG noted that criminals have been able to trick fingerprint scanners with fake fingers (often made of plastic) that have been fitted with a copy of someone’s actual fingerprint pattern.
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