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                            Library & Multimedia
 A novel skin tone detection algorithm for contraband image analysis
NCJ Number
              305384

Author(s)
          Abhishek Choudhury;
                        Marcus Rogers;
                        Blair Gillam;
                        Keith Watson
Date Published

2008
Length
              7 pages
Annotation
              This paper examines skin tone detection algorithms in File Hound, a forensic tool used by first responder.
Abstract
              File Hound is a "field analysis" software application that is currently being used by over 100 law enforcement agencies, both internationally and domestically. It is mainly used in forensic investigations to search and identify pornographic images from a hard drive. Since the conception of File Hound, several steps have been taken to improve its performance and expand its features. One such feature is a skin tone detection filter that can identify images with a large skin color count from the aggregate image results found by File Hound. This filter is based on the idea that there is a positive correlation between images with a large skin color count and images that are pornographic in nature. A novel skin tone detection filter was developed, and this filter was tested against random images obtained from the Compaq Image database for skin tone detection. The results of the test are encouraging in terms of accuracy and low error rates: type I = 20.64%, type II = 0.81%, accuracy = 78.55%. (Publisher abstract provided)
      
  
          Additional Details
Grant Number(s)
        2006-DN-BX-K250


  
  
        
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        NIJ-Sponsored


  
  
        
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        File Hound: A Law Enforcement Investigative Tool
    
  
  
Date Published: January 1, 2008
    
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        Skin color



  
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