Characteristic and Necessary Minutiae in Fingerprints

by   Johannes Wieditz, et al.

Fingerprints feature a ridge pattern with moderately varying ridge frequency (RF), following an orientation field (OF), which usually features some singularities. Additionally at some points, called minutiae, ridge lines end or fork and this point pattern is usually used for fingerprint identification and authentication. Whenever the OF features divergent ridge lines (e.g. near singularities), a nearly constant RF necessitates the generation of more ridge lines, originating at minutiae. We call these the necessary minutiae. It turns out that fingerprints feature additional minutiae which occur at rather arbitrary locations. We call these the random minutiae or, since they may convey fingerprint individuality beyond the OF, the characteristic minutiae. In consequence, the minutiae point pattern is the superposition of two stochastic point processes: a Strauss point process (whose intensity is given by the divergence field) with an additional hard core and a homogeneous Poisson point process modelling the necessary and the characteristic minutiae, respectively. We perform Bayesian inference using an MCMC-based minutiae separating algorithm (MiSeal). In simulations, it provides good mixing and good estimation of underlying parameters. In application to fingerprints, we can separate the two minutiae processes and verify by example of two different prints with similar OF that characteristic minutiae convey fingerprint individuality.


page 3

page 7

page 17

page 18

page 20


Real time ridge orientation estimation for fingerprint images

Fingerprint verification is an important bio-metric technique for person...

Fingerprint Verification based on Gabor Filter Enhancement

Human fingerprints are reliable characteristics for personnel identifica...

Biometric Recognition System (Algorithm)

Fingerprints are the most widely deployed form of biometric identificati...

FDeblur-GAN: Fingerprint Deblurring using Generative Adversarial Network

While working with fingerprint images acquired from crime scenes, mobile...

Geometric Fingerprint Recognition via Oriented Point-Set Pattern Matching

Motivated by the problem of fingerprint matching, we present geometric a...

Algorithms for ridge estimation with convergence guarantees

The extraction of filamentary structure from a point cloud is discussed....

Please sign up or login with your details

Forgot password? Click here to reset