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NCJ Number: NCJ 239049   Add to Shopping cart   Find in a Library
Title: Establishing the Quantitative Basis for Sufficiency Thresholds and Metrics for Friction Ridge Pattern Detail and the Foundation for a Standard
Author(s): Randall S. Murch ; A. Lynn Abbott ; Edward A. Fox ; Michael S. Hsiao ; Bruce Budowle
Date Published: 05/2012
Page Count: 53
Sponsoring Agency: National Institute of Justice
US Department of Justice
Office of Justice Programs
United States of America
Grant Number: 2009-DN-BX-K229
Sale Source: National Institute of Justice/NCJRS
Box 6000
Rockville, MD 20849
United States of America

NCJRS Photocopy Services
Box 6000
Rockville, MD 20849-6000
United States of America
Document: PDF 
Type: Research (Applied/Empirical)
Language: English
Country: United States of America
Annotation: The primary purpose of this study was to develop a sound, quantitative basis for assessing the quality of fingerprint images.
Abstract: The primary aim of this study was to develop a quantitative basis for assessing the quality of various types of fingerprint images. Fingerprint images were obtained from several sources: a set of 117,323 anonymized images, rolled and slap prints, from 2,575 different individuals from the Federal Bureau of Investigation’s (FBI’s) Criminal Justice Information Services division; 516 latent prints from the NIST (National Institute of Standards and Technology) Special Database 27, as well as prints obtained in the laboratory using latent lifting methods; and a newly created database of digitally altered images of actual prints for use in determining drop-off points. The researchers tested their theoretical concepts on these actual images and then performed statistical analyses to test the validity of the results. The analyses led to the development of quantitative thresholds for unbiased selection and for the use of Level 2 detail. The researchers developed software for use in extracting minutiae, ridges, and extended feature representations of images, as well as conducted data mining in order to identify new feature types that are statistically rare in fingerprint image databases. The researchers also developed a method for conducting high-speed computing when performing the data mining work, in addition to developing an improved automated method for conducting image segmentation in which the fingerprint region is separated from the background of an image. To date, this work has improved the objective level for assessing the quality of fingerprint images, however more work is required. Implications for policy and practice are discussed. Tables, figures, and references
Main Term(s): Fingerprint image quality
Index Term(s): Fingerprints ; Automated fingerprint processing ; Latent fingerprints ; Fingerprint classification ; Laser fingerprint detection ; Forensics/Forensic Sciences ; Forensic science training ; DNA fingerprinting ; Fingerprint age ; Fingerprint detection techniques
   
  To cite this abstract, use the following link:
https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=261108

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