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NCJ Number: 236124 Find in a Library
Title: Latent Fingerprint Quality: A Survey of Examiners
Journal: Journal of Forensic Identification  Volume:61  Issue:4  Dated:July/August 2011  Pages:385-419
Author(s): R. Austin Hicklin; JoAnn Buscaglia; Maria Antonia Roberts; Stephen B. Meagher; William Fellner; Mark J. Burge; Matthew Monaco; David Vera; Larry R. Pantzer; Calvin C. Yeung; Ted N. Unnikumaran
Date Published: July 2011
Page Count: 35
Type: Report (Study/Research)
Format: Article
Language: English
Country: United States of America
Annotation: This paper describes a detailed survey of latent print examiners conducted to determine how examiners assess fingerprint quality during a fingerprint analysis.
Abstract: A survey of latent print examiners was conducted to determine how they assess fingerprint quality. Participating examiners performed detailed anonymous assessments of both the local and overall quality characteristics of latent and exemplar fingerprint images, using a custom-designed software application. Eighty-six latent print examiners from Federal, State, local, international, and private sector laboratories each spent 8 to 12 hours assessing the quality of approximately 70 fingerprint images. The finger prints were overlapping subsets of 1,090 latent and exemplar fingerprint images derived from the National Institute of Standards and Technology (NIST) Special Database 27 and a Federal Bureau of Investigation (FBI) Laboratory dataset of images. An analysis of the results shows the extent of consistency between examiners in value determinations; the relationships between the overall perceived quality of a print and the size of clear ridge detail; and the relationships between quality, size, and correct pattern classification. An analysis of the examiners’ subjective assessments of fingerprint quality revealed information useful for the development of guidelines, metrics, and software tools for assessing fingerprint quality. (Published Abstract)
Main Term(s): Forensic science training; Forensic sciences
Index Term(s): Fingerprint image quality; Latent fingerprints; Science Information Exchange
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