In this video, Brian Cerchiai discusses a NIJ-supported a study conducted by the Miami-Dade Police Department on the accuracy of fingerprint examiners. The study found that fingerprint examiners make extremely few errors. Even when examiners did not get an independent second opinion about their decisions, they were remarkably accurate. But when decisions were verified by an independent reviewers, examiners had a 0% false positive, or incorrect identification, rate and a 3% false negative, or missed identification, rate.

Transcript of the video:

Research Conducted by the Miami-Dade Police Department. Speaking in this video: Brian Cerchiai, CLPE, Latent Fingerprint Examiner, Miami-Dade Police Department.

The goal of the research was to determine if latent finger print examiners can make and be able to make identifications, exclude properly prints not visible to the naked eye. In this case, we had these 13 volunteers leave over 2000 prints on different objects that were round, flat, smooth and we developed them with black powder and tape lifts.

We did the ACE which is analyze compare evaluate. Where we gave latent examiners - 109 latent examiners - unknown finger prints or palm prints and latents to look at and compare to three known sources. So essentially, compare this latent to one of these 30 fingers or one of these six palms.

So as participants were looking at the latent list and comparing them to the subjects, we asked them if they could identify any of those three subjects as being the source of that latent print. In that case, they would call that an identification. If we asked them to exclude, we are basically asking them to tell us that none of those three standards made that latent or were not the source of that latent print.

That ACE verification (ACE-V) process works, secondly, the examiner looks at that comparison and does their own analysis comparison and gives their evaluation of that decision. When we found that under normal conditions where one examiners made an identification and the second examiner verified that no erroneous identification got passed that second latent examiner. So it had a false positive rate of zero.

So when we are looking at ACE comparisons where one latent examiner looked a print and one latent examiner analyzed compared and evaluate and came up with a decision. We came up- there was a false positive rate which basically an erroneous identification where they identified the wrong source.

Without verification, there was a three percent error rate for that type of identification. And we also tracked a false negative rate where given those three standards, people were erroneously excluded that source; where you're given the source, check one of these three people and then you now eliminate that one of those latent print does not come from one of those three people, even though it did. So that would be a false negative. And that false negative rate was 7.5 percent.

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