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Advances in Fingerprint Technology.pdf

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variation need have no relationship with one another. Roxburgh conceded<br />

that Galton calculated the probability that Galton could reconstruct any<br />

particular pr<strong>in</strong>t wholly <strong>in</strong> square regions, six ridge <strong>in</strong>tervals on a side. Roxburgh<br />

argued, however, that the probability of 1/2 for a correct guess is<br />

<strong>in</strong>fluenced by the size of the region relative to the ridge characteristics, rather<br />

than by the variation or distribution of the characteristics themselves. If a<br />

one ridge <strong>in</strong>terval square region were used, an observer could always guess<br />

correctly. Under these circumstances, it would be possible to reconstruct any<br />

particular pr<strong>in</strong>t, given the ridges surround<strong>in</strong>g the squares, and yet not be<br />

able to say anyth<strong>in</strong>g about variation between f<strong>in</strong>gerpr<strong>in</strong>ts. Roxburgh po<strong>in</strong>ted<br />

out that Galton’s analysis proceeds as if he had surveyed a number of f<strong>in</strong>gerpr<strong>in</strong>ts,<br />

compar<strong>in</strong>g square regions <strong>in</strong> correspond<strong>in</strong>g positions with<strong>in</strong> the<br />

pr<strong>in</strong>ts. Had Galton done this, Roxburgh would have agreed with the analysis.<br />

The actual experiments, however, were quite different; and as a result, Roxburgh<br />

rejected Galton’s model.<br />

K<strong>in</strong>gston 9,28 made somewhat the same po<strong>in</strong>t, not<strong>in</strong>g that Galton’s ability<br />

to guess the content of a square region is not an <strong>in</strong>dication of the variation<br />

<strong>in</strong> actual f<strong>in</strong>gerpr<strong>in</strong>t patterns. If Galton had shown that his region could<br />

conta<strong>in</strong> only two configurations, given the surround<strong>in</strong>g patterns, K<strong>in</strong>gston<br />

would have accepted the basis for Galton’s calculations. See<strong>in</strong>g no evidence<br />

to support this contention, however, K<strong>in</strong>gston also rejected Galton’s model.<br />

These criticisms by K<strong>in</strong>gston and Roxburgh are only partially valid. Galton<br />

<strong>in</strong>tended his Factors B and C to summarize much of the variation among<br />

f<strong>in</strong>gerpr<strong>in</strong>ts. His Factor B accounted for variation <strong>in</strong> general pattern type and<br />

his Factor C accounted for variation <strong>in</strong> the number of ridges enter<strong>in</strong>g and<br />

leav<strong>in</strong>g each square region. Clearly, the values of Factor C would change<br />

radically if the size of the region were to vary. In particular, for the limit<strong>in</strong>g<br />

cases where the ability to guess the content of the region approached certa<strong>in</strong>ty,<br />

the value of Factor C would become very small. Unfortunately, Galton<br />

did not consider his two “Factors” <strong>in</strong> any detail, and <strong>in</strong>stead chose arbitrary<br />

and excessively large estimates for both factors.<br />

If one accepts the concept of Galton’s Factors B and C, the question<br />

becomes whether or not Galton’s experiments reasonably approximate a<br />

survey of correspond<strong>in</strong>g regions <strong>in</strong> different f<strong>in</strong>gerpr<strong>in</strong>ts. It is clear that<br />

Galton had this <strong>in</strong> m<strong>in</strong>d when he wrote: 28<br />

When the reconstructed squares were wrong, they had nonetheless a natural<br />

appearance…. Be<strong>in</strong>g so familiar with the run of these ridges <strong>in</strong> f<strong>in</strong>gerpr<strong>in</strong>ts,<br />

I can speak with confidence on this. My assumption is that any one of these<br />

reconstructions represents l<strong>in</strong>eations that might have occurred <strong>in</strong> nature,<br />

<strong>in</strong> association with the conditions outside the square, just as well as the<br />

l<strong>in</strong>eations of the actual pr<strong>in</strong>ts.

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