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Advances in Fingerprint Technology.pdf

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scores was then compared to the distribution of the 50,000 scores that resulted<br />

from compar<strong>in</strong>g each of the f<strong>in</strong>gerpr<strong>in</strong>t images to itself. This was done by<br />

assum<strong>in</strong>g normal distributions and apply<strong>in</strong>g a sample Z score.<br />

When exam<strong>in</strong><strong>in</strong>g the Z scores for the non-identical pr<strong>in</strong>ts, Meagher,<br />

Budowle, and Ziesig noted three comparisons with unusually high scores<br />

(6.98, 6.95, and 3.41). Investigation of these comparisons led to the discovery<br />

that they had resulted from comparisons of different pr<strong>in</strong>ts from the same<br />

f<strong>in</strong>ger. That is, with<strong>in</strong> the data set of 50,000 pr<strong>in</strong>ts, there had un<strong>in</strong>tentionally<br />

been <strong>in</strong>cluded some rolled <strong>in</strong>ked pr<strong>in</strong>ts that had been made by the same<br />

f<strong>in</strong>ger on different occasions. The three scores that were unusually high were<br />

attributed to:<br />

1. Compar<strong>in</strong>g Pr<strong>in</strong>t A of Individual 1 with Pr<strong>in</strong>t B of Individual 1<br />

2. Compar<strong>in</strong>g Pr<strong>in</strong>t B of Individual 1 with Pr<strong>in</strong>t A of Individual 1<br />

3. Compar<strong>in</strong>g Pr<strong>in</strong>t A of Individual 2 with Pr<strong>in</strong>t B of Individual 2<br />

From these results, it was apparent that another same-f<strong>in</strong>ger, different-pr<strong>in</strong>t<br />

comparison was <strong>in</strong> the set; namely:<br />

4. Compar<strong>in</strong>g Pr<strong>in</strong>t B of Individual 2 with Pr<strong>in</strong>t A of Individual 2<br />

This comparison was subsequently found to have a Z score of 1.79, well <strong>in</strong><br />

among the scores of the non-identical pr<strong>in</strong>ts. After discovery of these two pairs<br />

of pr<strong>in</strong>ts from the same f<strong>in</strong>gers, these pr<strong>in</strong>ts were excluded from the analysis.<br />

Meagher, Budowle, and Ziesig proceeded by not<strong>in</strong>g that the largest<br />

rema<strong>in</strong><strong>in</strong>g Z score for the non-identical pr<strong>in</strong>t comparisons was 1.83 and that<br />

the smallest Z score for the comparisons of the same pr<strong>in</strong>t with itself (under<br />

the hypothesis of equal means) was 21.7. For the two-sample test of means,<br />

this Z score is associated with a probability of 1/10 97 ; thus, Meagher, Budowle,<br />

and Ziesig concluded that the probability of a non-mate rolled f<strong>in</strong>gerpr<strong>in</strong>t<br />

be<strong>in</strong>g identical to any particular f<strong>in</strong>gerpr<strong>in</strong>t was less than this value. They<br />

went on to state that, given a world population of 5.9 × 10 9 , the approximate<br />

chance of any two rolled f<strong>in</strong>gerpr<strong>in</strong>ts on Earth be<strong>in</strong>g identical was 59/10 88 , a<br />

value obta<strong>in</strong>ed by multiply<strong>in</strong>g their orig<strong>in</strong>al probability by the world f<strong>in</strong>ger<br />

population.<br />

The Second Experiment, Based on Compar<strong>in</strong>g Subsets of the<br />

Records with the Same Complete Records<br />

The second experiment conducted by Meagher, Budowle, and Ziesig closely<br />

followed the first, but simulated latent pr<strong>in</strong>ts, constructed from the 50,000<br />

pr<strong>in</strong>ts, were used to compare aga<strong>in</strong>st the same set of 50,000 pr<strong>in</strong>ts. To construct<br />

the simulated latent pr<strong>in</strong>ts, the central 21.7% of the whole rolled

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