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Thought / Knowledge / Automated fingerprint identification / Type I and type II errors / Accuracy and precision / Integrated Automated Fingerprint Identification System / Forensic science / Biometrics / Fingerprints / Statistics


Accuracy and reliability of forensic latent fingerprint decisions Bradford T. Ulerya, R. Austin Hicklina, JoAnn Buscagliab,1, and Maria Antonia Robertsc a Noblis, 3150 Fairview Park Drive, Falls Church, VA 22042; bCounte
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Document Date: 2011-04-25 10:41:23


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City

Washington / DC / Madrid / Wertheim / Falls Church / New York / Quantico / /

Company

Scientific Working Group / Noblis Inc. / Cole SA / National Academies Press / Saks / CRC Press / /

Country

United States / United Kingdom / Wales / /

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Facility

Carnegie Mellon University / FBI Biometric Center of Excellence / /

IndustryTerm

galvanized metal substrate / livescan device / image processing / Software workflow / analytic tools / automated fingerprint identification systems / /

Organization

National Research Council of the National Academies / red cross / National Research Council / FBI Biometric Center of Excellence / US Department of Justice / US government / FBI Laboratory Division / cLatent Print Support Unit / Carnegie Mellon University / Pittsburgh / Federal Bureau of Investigation Laboratory Division / Federal Bureau of Investigation / office of the Inspector General / bCounterterrorism and Forensic Science Research Unit / Stanford / /

Person

Ted Unnikumaran / Keith Ward / Stephen Meagher / R. Austin Hicklina / Calvin Yeung / Edmond Locard / Jill McCracken / Erik Stanford / Buscagliab / William Chapman / William Fellner / Bradford T. Ulerya / Maria Antonia Robertsc / /

Position

Author / Governor / representative / /

ProvinceOrState

Virginia / Pennsylvania / Maryland / New York / /

Technology

http / image processing / CMP / /

URL

www.pnas.org/cgi/doi/10.1073/pnas.1018707108 / www.pnas.org/lookup/suppl / http /

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