Phones unlock instantly when a finger registered with them is placed on the sensor, but it refuses to recognize the
other unregistered finger, that's where the uniqueness of fingerprints becomes practically noticeable. Fingerprints can be used
to identify a single person because they are unique to each person and do not change over time. Fingerprints consist of ridges
that are elevated lines and grooves that are valleys between these lines. And hence fingerprints are patterns of ridges and
furrows that are different for everyone.
Ridge patterns are what is imprinted on the surface when your finger touches it.If your fingerprints are taken and printed on
paper, they can be used to match fingerprints that you might have left elsewhere.
Autoencoders are special types of neural network architectures in which the output is the same as the input. An autoencoder is a
regression task where the network is asked to predict its input (in other words, model the identity function).