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Advances in Fingerprint Technology.pdf

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(e) (f)<br />

Y<br />

yb<br />

ye<br />

θe<br />

Figure 8.8 (cont<strong>in</strong>ued)<br />

θb<br />

E<br />

xe<br />

B<br />

Figure 8.9 Schematic representation of a ridge end<strong>in</strong>g (E) and a ridge bifurcation/branch<strong>in</strong>g<br />

(B). A m<strong>in</strong>utiae is typically quantified by its (x, y) coord<strong>in</strong>ates and<br />

the orientation of the abutt<strong>in</strong>g ridge. Different representation conventions are<br />

used by different automatic f<strong>in</strong>gerpr<strong>in</strong>t identification systems.<br />

values of orientation of the ridges, and number of ridges between two features<br />

(ridge counts). An expert can reliably use judgments about scars, complex visual<br />

textures, sweat pores, and ridge thickness to rule out false matches. It is not an<br />

exaggeration to state that research <strong>in</strong> automatic f<strong>in</strong>gerpr<strong>in</strong>t identification has<br />

been mostly an exercise <strong>in</strong> imitat<strong>in</strong>g the performance of a human f<strong>in</strong>gerpr<strong>in</strong>t<br />

xb<br />

X

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