A probabilistic analysis of the biometrics menagerie existence: a case study in fingerprint data
The use of biometrics, until very recently, has been restricted to high-security environments and criminal identification applications, for economic and technological reasons. However, with its popularisation, it has been noted that users within the system may have different degrees of accuracy. Some people may have trouble authenticating, while others may be particularly vulnerable to imitation. Recent studies have investigated and identified these types of users, giving them the names of animals: Sheep, Goats, Lambs, Wolves, Doves, Chameleons, Worms and Phantoms. The aim of this study is to evaluate the existence of these animals in a database of fingerprints by proposing a new way of their identification, based on the performance of verification between subjects samples.
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