Fingerprints feature a ridge pattern with moderately varying ridge frequency (RF), following an orientation field (OF), which usually features some singularities.
OFs are used for image enhancement, fingerprint alignment, for fingerprint liveness detection, fingerprint alteration detection and fingerprint matching.
Fingerprint recognition plays an important role in many commercial applications and is used by millions of people every day, e. g. for unlocking mobile phones.
Further, we provide a benchmark dataset of real cell images along with filaments manually marked by a human expert as well as simulated benchmark images.
MHs provide a fixed-length feature vector for a fingerprint which are invariant under rotation and translation.