“Dr. Jain’s analytic quantification on fingerprint persistence of the results significantly support early studies on fingerprint persistence and yet further support legal requirements for peer review and publication.” Jim Loudermilk, senior level technologist at the FBI Science and Technology Branch.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"In both TV crime dramas and real-life courtrooms, fingerprints are often the lynchpin connecting a criminal to a crime. Many studies have demonstrated that the loops, whorls, and arches on an individual\u2019s \u201cfriction ridge skin\u201d are unique enough to be admissible as evidence, but few have investigated whether they remain the same over time. Therefore, […]<\/p>\n","protected":false},"author":1,"featured_media":442,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"yoast_head":"\n
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<\/a>“We wanted to answer the question that has plagued law enforcement and forensic science for decades: Is fingerprint pattern persistent over time?” said Anil Jain, University Distinguished Professor, computer science and engineering, at Michigan State University. “We have now determined, with multilevel statistical modeling, that fingerprint recognition accuracy remains stable over time.”<\/p>\n