Sufficiency for Exclusions

In 2011 the Noblis black box study on the accuracy of latent fingerprint comparisons was published. While the latent print community was relieved to see a large-scale study demonstrate the high accuracy of the identification decision, we were somewhat shocked to see a relatively high rate of erroneous exclusions. SWGFAST and other professional organizations have defined the exclusion decision as “sufficient features in disagreement”. Although no specifics have been provided on how to define sufficiency, many agencies have defined their own standard for the exclusion decision. This lecture reviews recent research and proposes how accuracy study results can be applied to establish an exclusion sufficiency threshold and adjust comparison practices to reduce errors.

Contact Eric Ray to bring this training course to your conference.


  • Eric Ray has been a Forensic Scientist in the Latent Print field since 2007 and is a Certified Latent Print Examiner. He earned a BS in Biochemistry and Molecular & Cellular Biology from the University of Arizona. As a member of the IAI, Eric is on the Editorial Board of the JFI. Eric has chaired the IAI Special Committee on Latent Print Probability Modeling and was a member of the OSAC Friction Ridge Subcommittee. Eric has published and presented extensively on Reducing Erroneous Exclusions. In his spare time he also co-hosts the Double Loop Podcast, an online program on fingerprint topics.

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