The aim of this work is to examine the similarities between finger and
footprint using Level-2 features (Minutiae) for footprint recognition. This
paper uses One-shot Learning utilizing pre-existing MinutiaeNet Model
which was implemented on fingerprint dataset. We have implemented
both the proposed models (FineNet and CoarseNet) which required rawdata
preprocessing using enhancement techniques. The model was
implemented on custom-made dataset containing 180 images of 44
people. Parameters like TPR and FPR used in ROC curve.