The fingerprints dubbed as DeepMasterPrints by the researchers can be artificially generated using machine learning algorithm.
DeepMasterPrints takes advantage of two flaws in fingerprint-based authentication systems.
The first is that many fingerprint scanners do not read the entire finger at once.
However, such attacks may not be able to break into your phone.
This would take a lot of work to try and reverse engineer a system like that.
He and his team want their research to motivate companies to step up fingerprint-security efforts.
The real hope of work like this is to push toward liveness detection in biometric sensor.
source: www.techworm.net