Fingerprint Analysis (part 1) Pavel Mrázek. What is fingerprint Ridges, valleys Singular points –Core –Delta Orientation field Ridge frequency.

Fingerprint Analysis(part 1)

Pavel Mrázek

What is fingerprint• Ridges, valleys

• Singular points– Core– Delta

• Orientation field

• Ridge frequency

Fingerprint classes

Small scale: Minutia• 150 types in theory• 7 used by human experts• 2 types for the machine:

– Ending– Bifurcation

Minutia examples

SensingTraditional (off line): rolled ink impression

+ paper scan

• Plus: big area

• Minuses: – Inconvenient– Distortion– Too much/little ink

SensingOptical sensors

SensingOptical sensors

• Good: large area possible, good image quality, contactless scanning available

• Bad: size

SensingSilicon sensors

• Capacitive

• Electric field

• Thermal

SensingSilicon sensors

• Good image quality, small form factor

• Price proportional to size

SensingSilicon sensors

• Area

• Swipe

Fingerprint types

Minutia detection overview

Orientation fieldOrientation field (or ridge flow)

estimation:

• Crucial step before

image enhancement

• Various methods:– Gradient-based– Gabor filters– FFT

Orientation estimation• Gradient direction

– local characteristics

– same ridge orientation, opposite gradients

– more global view needed

• Classical solution: Structure tensor(second moment matrix, interest operator)– start from a 2x2 matrix

(positive semidefinite)

– safe to average information

Orientation estimationStructure tensor• Local:• Larger scale: average componentwise

(Gaussian window, linear/nonlinear smoothing)

• 2 nonnegative eigenvalues– both small: backgroung / low contrast– one big, one small: regular ridge area– both big: multiple orientations

(core, delta, scar)

Orientation estimationStructure tensor

• system of 2 orthogonal eigenvectors

• shows dominant direction

Orientation estimation

Orientation estimation

Orientation estimation• Problematic images

• Solution– Enforce smoothness– Use prior knowledge

Orientation model

References• Maltoni et al.: Handbook of Fingerprint Recognition. Springer

2003.• Maltoni. A tutorial on fingerprint recognition. In LNCS 3161,

Springer 2005.• Hong, Wan, Jain. Fingerprint image enhancement: algorithm

and performance evaluation. IEEE PAMI 1998.• Zhou, Gu. A model-based method for the computation of

fingerprints’ orientation field. IEEE TIP 2004.• Weickert. Coherence enhancing shock filters. DAGM 2003.

• Contact: mrazekp -at- cmp.felk.cvut.cz