Some of the inherent weaknesses of fingerprint-based authentication are inherent in the concept itself, and will remain no matter how much the sensors improved: you leave fingerprints everywhere you go, including on the device itself. With maturity of the technology, the fingerprint sensors are likely the least of your problem if you decide to rely on fingerprint for unlocking. Google's minimum requirement for Fingerprint implementation in Pixel or Nexus device is documented here.Īccording to Mobile ID World Pixel 3 uses FPC1075 sensor developed by Fingerprints which uses capacitive sensor. This said if you're locking your phone to answer a"normal life" need.You do not have to worry :) Rate, the generated DeepMasterPrints can spoof 77% of the In the dataset at a 0.1% false match rate. Recently () researchers introduced the concept of DeepMasterPrints which is basically based on training a neural network on a set of real fingerprint images in order to create a synthetic fingerprint able to fool a fingerprint sensor, this is roughly done this way (cf: this paper):Įxecute this exploit and is able to spoof 23% of the subjects
(cf: MasterPrint: Exploring the Vulnerability of Partial Fingerprint-Based Authentication Systems) The chances of a partial fingerprint being incorrectly matched with another "user" fingerprint is relatively high. For the sake of ergonomy, smartphones are equipped with small fingerprint sensors which means they are able to obtain only partial images of a given fingerprint.
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