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NCJRS Abstract

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  NCJ Number: NCJ 242576     Find in a Library
  Title: Sequential Raman Chemical Imaging and Biometric Analysis on Fingerprints for Rapid Identification of Threat Materials and Individuals
  Author(s): Jason A. Guicheteau ; Henry Swofford ; Ashish Tripathi ; Phillip G. Wilcox ; Erik D. Emmons ; Steven D. Christesen ; Juliet Wood ; Augustus W. Fountain III
  Journal: Journal of Forensic Identification  Volume:63  Issue:1  Dated:January/February 2013  Pages:90 to 101
  Date Published: 02/2013
  Page Count: 12
  Annotation: This article discusses Raman chemical imaging (RCI) and fingerprint identification.
  Abstract: Through a collaborative effort between the United States Army Edgewood Chemical Biological Center (ECBC) and the United States Army Criminal Investigation Laboratory (USACIL), the ability to perform sequential Raman chemical imaging (RCI) and biometric analysis on fingerprints for rapid identification of threat materials and individuals was demonstrated. The chemical analysis and imaging of the fingerprints are achieved simultaneously through RCI. The fingerprint image, which bears the location and identity of the threat materials embedded within the fingerprint residue, is also suitable for subsequent biometric analysis through an automated fingerprint identification system (AFIS). In the tests, AFIS consistently generated a candidate list containing the source of the fingerprint in the top ranking position. These results mark the first step towards the practical application and implementation of RCI for chemical and biometric analyses on fingerprints routinely obtained at security checkpoints or developed during forensic counter-terrorism and drug investigations. (Published Abstract)
  Main Term(s): Criminology
  Index Term(s): Suspect identification ; Latent fingerprints ; Forensics/Forensic Sciences ; Fingerprint image quality ; Fingerprint detection techniques
  Publisher URL: 
  Type: Report (Study/Research)
  Country: United States of America
  Language: English
  To cite this abstract, use the following link:

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