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Advances in Fingerprint Technology.pdf

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There is not only opportunity for change <strong>in</strong> m<strong>in</strong>utia type, but for a change<br />

<strong>in</strong> ridge count as well. Roxburgh suggested the use of a factor Q (for quality)<br />

to assess the impact of connective ambiguity. The value of Q varies, depend<strong>in</strong>g<br />

on the quality of the f<strong>in</strong>gerpr<strong>in</strong>t. It ranges from 1 <strong>in</strong> an ideal pr<strong>in</strong>t to 3<br />

<strong>in</strong> a pr<strong>in</strong>t where complete connective ambiguity must be acknowledged. (3<br />

is used as the limit because there are three possibilities for m<strong>in</strong>utia type and<br />

ridge count when complete connective ambiguity is acknowledged.) Roxburgh<br />

estimated Q as 1.5 for a “good average” pr<strong>in</strong>t, 2.0 for a “poor average”<br />

pr<strong>in</strong>t, and 3 for a “poor” pr<strong>in</strong>t. The factor Q decreases the number of dist<strong>in</strong>guishable<br />

m<strong>in</strong>utia configurations, contribut<strong>in</strong>g a factor of (1/Q) for each<br />

m<strong>in</strong>utia. Equation (9.6) thus becomes Equation (9.8):<br />

Number of configurations = (P) [(RT)/Q] N (9.8)<br />

Roxburgh made one additional correction to account for circumstances<br />

where the f<strong>in</strong>gerpr<strong>in</strong>t pattern is <strong>in</strong>sufficiently clear to allow proper determ<strong>in</strong>ation<br />

of the ridge count from the core. The relative positions of the m<strong>in</strong>utiae<br />

are not affected, but there is some uncerta<strong>in</strong>ty regard<strong>in</strong>g the position of the<br />

whole configuration relative to the core. A factor C was <strong>in</strong>troduced, def<strong>in</strong>ed<br />

as the number of possible position<strong>in</strong>gs for the configuration. The pattern<br />

factor P was divided by C to correct for this uncerta<strong>in</strong>ty. In the extreme where<br />

the pattern is not at all apparent, the factor P must be dropped altogether.<br />

Roxburgh’s f<strong>in</strong>al equation for the number of possible m<strong>in</strong>utia configurations<br />

is Equation (9.9):<br />

Number of configurations = (P/C) [(RT)/Q] N (9.9)<br />

For a good average f<strong>in</strong>gerpr<strong>in</strong>t, show<strong>in</strong>g the pattern type and 35 m<strong>in</strong>utiae,<br />

Roxburgh def<strong>in</strong>es his variables as T = 2.412, R = 10, N = 35, P = 1000, Q =<br />

1.5, and C = 1. Assum<strong>in</strong>g each configuration is equally likely, Equation (9.10)<br />

gives the chance of duplication of a particular configuration of 35 m<strong>in</strong>utiae.<br />

P(duplication, N = 35) = 1/(1.67 × 10 45 )<br />

= 5.98 × 10 –46 (9.10)<br />

For any particular case, Roxburgh recommends estimat<strong>in</strong>g the number<br />

of <strong>in</strong>dividuals who could have had access to the location where the f<strong>in</strong>gerpr<strong>in</strong>t<br />

was found (be it the entire population of a country, city, or whatever). The<br />

chance of duplication of a particular configuration of m<strong>in</strong>utiae <strong>in</strong> this population<br />

may then be considered, and the number of m<strong>in</strong>utiae necessary for<br />

any desired confidence level may be determ<strong>in</strong>ed. Roxburgh suggested that a

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