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Advances in Fingerprint Technology.pdf

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(a) (b)<br />

(c) (d)<br />

Figure 8.8 A f<strong>in</strong>gerpr<strong>in</strong>t classification schema <strong>in</strong>volv<strong>in</strong>g six categories: (a) arch,<br />

(b) tented arch, (c) right loop, (d) left loop, (e) whorl, and (f) tw<strong>in</strong> loop. Critical<br />

po<strong>in</strong>ts <strong>in</strong> a f<strong>in</strong>gerpr<strong>in</strong>t, called core and delta, are marked as squares and triangles,<br />

respectively. An arch does not have a delta or a core. One of the two deltas <strong>in</strong><br />

(e) and both deltas <strong>in</strong> (f) are not imaged. A sample m<strong>in</strong>utiae ridge end<strong>in</strong>g (o) and<br />

ridge bifurcation (×) are illustrated <strong>in</strong> (e). Each image is 512 × 512 with 256 gray<br />

levels and is scanned at 512 dpi resolution. (From Ja<strong>in</strong>, A., Hong, L., Pankanti,<br />

S., and Bolle, R., On-l<strong>in</strong>e identity-authentication system us<strong>in</strong>g f<strong>in</strong>gerpr<strong>in</strong>ts. Proc.<br />

IEEE (Special Issue on Automated Biometrics), 85(9), 1365–1388, ©IEEE, September<br />

1997.)<br />

The guidel<strong>in</strong>es for (visual) match<strong>in</strong>g of f<strong>in</strong>gerpr<strong>in</strong>ts are quite elaborate.<br />

A f<strong>in</strong>gerpr<strong>in</strong>t expert often relies on subtle and complex reason<strong>in</strong>g to argue<br />

whether two pr<strong>in</strong>ts orig<strong>in</strong>ated from a s<strong>in</strong>gle f<strong>in</strong>ger or two dist<strong>in</strong>ct f<strong>in</strong>gers.<br />

For example, an expert can visually localize several rich features of a f<strong>in</strong>gerpr<strong>in</strong>t<br />

with remarkable accuracy. These features <strong>in</strong>clude the locations of core,<br />

delta, islands, dots, short ridges, ridge end<strong>in</strong>gs, ridge bifurcations, and numerical

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