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                            Library & Multimedia
 Selecting Valid Correlation Areas for Automated Bullet Identification System Based on Striation Detection
NCJ Number
              304347
Journal

*Journal of Research of the National Institute of Standards and Technology* Volume: 116 Issue: 3 Dated: 2011 Pages: 1-7
Author(s)
          W. Chu;
                        et al
Date Published

2011
Length
              7 pages
Annotation
              In this article, an edge detection algorithm and selection process are used together to locate the edge points of all tool-mark features and filter out those not corresponding to striation marks.
Abstract
              Some automated bullet identification systems calculate a correlation score between two land impressions to measure their similarity. When extracting a compressed profile from the land impression of a fired bullet, inclusion of areas that do not contain valid individual striation information may lead to sub-optimal extraction and therefore may deteriorate the correlation result. In the current project, edge points of the resulting striation marks were reserved and expanded to generate a mask image. By imposing the mask image on the topography image, the weakly striated area(s) were removed from the expressed profile extraction. Using this method, 48 bullets fired from 12 gun barrels of six manufacturers resulted in a higher matching rate than previous studies. (Publisher Abstract)
      
  
          Additional Details
Grant Number(s)
        2010-DN-R-7121
                                2008-DN-R-121


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)


  
  
        
  Award
        Office of Law Enforcement Standards
    
  
  
Date Published: January 1, 2011
    
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