Researchers from New York University and Michigan State University successfully generated what they call "DeepMasterPrints" earlier this year. These are machine-learning methods that act as a kind of "masterkey" which, the researchers claim, have the potential to unlock around one in three fingerprint-protected smartphones.

In the paper released in October, the authors said synthetic fingerprints could be "used by an adversary to launch an attack … that can compromise the security of a fingerprint-based recognition system."

Philip Bontrager, Aditi Roy, Julian Togelius, Nasir Memon and Arun Ross, the researchers behind the study, said the way fingerprints were recognized on smartphones and other devices was often problematic.