T-Model VERSION 9.2
Fingerprint Identification
Based on Match Probability and Relevant Population
Last Update: April 23, 2012
Henry Templeman
henry
Clark Non-Match
One of the largest and best fingerprint look-alikes ever recorded displaying non-pattern force corresponding ridge formations was determined to be that found by John “Dusty” Clark as a result of a California Department of Justice AFIS search [26]. Based on conservative interpretation of discriminating values, conservative assessment of clarity, reliability and quality of agreement, and a relevant fingerprint population of 65,200,000 [33], the total quantitative-qualitative discriminating value was estimated to be 93,652,910 and the subsequent conservative (upper-bound) number of look-alikes was estimated to be 10.48.
"Found on an AFIS search, the below images have eight details in sequence that are not from a common source. This example is numerically the most level two characteristics found in agreement, as well as being the closest in tolerance of spatial relationship that this author is aware of that are not from the same source."
John "Dusty" Clark
Close-up of Clark latent impression Close-up of Clark exemplar impression
Overview of Clark latent v. exemplar fingerprint impressions
Click HERE for a PDF summary of the Clark Non-match.
The values for the above pairs of corresponding latent v. exemplar ridge features were multiplied against each other in order to obtain the aggregate total value, e.g., T-Value, as follows:
26.75 x 68.97 x 1 x 1 x 9.405 x 18.75 x 6.1875 x 26.75 = 93,652,910
Based on an estimated California Department of Justice AFIS fingerprint database of population of approximately 65,200,000 (at the time of the find), the number of fingerprint parts (P) and the estimated number of look-alikes (L) is calculated by T-Model formula as follows:
L = (R) 120 / T (LOG T)
L = (65,200,000) (120) / 93,652,910 (Log 93,652,910)
L = 10.48
The T-Model calculates the conservative, e.g., upper-bound, number of look-alikes likely to occur in a relevant population group of 65.2 million fingerprints as 10.48.
As a result, the T-Model correctly identified the amount of corresponding ridge features present in the Clark Non-Match as insufficient to infer positive identification.
Based on a relevant fingerprint population of 65,200,000, a conservative T-Value of 93,652,910, and an estimated number of look-alikes of 10.48, the Clark Non-Match is considered pound-for-pound one of the largest and best friction ridge look-alikes ever seen.
The following statement by Christophe Champod supports the theory that the Clark non-match is one of the largest and best fingerprint look-alikes ever recorded:
“To my knowledge, the most convincing example [of the largest extent of correspondence involving a non-match] has been published by Dusty Clark who reports the following: “found on an AFIS search, the below images have eight details in sequence that are not from a common source. This example is numerically the most level two characteristics found in agreement, as well as being the closet in tolerance of spatial relationship that this author is aware of that are not from the same source.” [102]
Christophe Champod
Report to the Fingerprint Inquiry
September 28, 2009
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Latent print examiners may use the T-Model Fingerprint Calculator to test and experiment with different arrangements of corresponding ridge features found in any latent v. exemplar fingerprint impressions.
Any probabilistic model used to estimate numbers of friction ridge look-alikes must be able to reliably identify the largest and best friction ridge look-alikes that AFIS can find in its database as insufficient to infer positive identification.
Henry Templeman
henry