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                            Library & Multimedia
 Method for modeling post-mortem biometric 3D fingerprints
NCJ Number
              308370

Author(s)
          Srijith Rajeev;
                        Shreyas Kamath K.M.;
                        Sos S. Agaian
Date Published

2016
Annotation
              This publication introduces a method for modeling post-mortem biometric 3D fingerprints.
Abstract
              This paper proposes a non-invasive method to perform 3-D deformed/post-mortem finger modeling, which produces a 2-D rolled equivalent fingerprint for automated verification. The presented novel modeling method involves masking, filtering, and unrolling. Computer simulations were conducted on finger models with different depth variations obtained from Flashscan3D LLC. Results illustrate that the modeling scheme provides a viable 2-D fingerprint of deformed models for automated verification. The quality and adaptability of the obtained unrolled 2-D fingerprints were analyzed using NIST fingerprint software. Eventually, the presented method could be extended to other biometric traits such as palm, foot, tongue, etc., for security and administrative applications. Despite the advancements of fingerprint recognition in 2-D and 3-D domain, authenticating deformed/post-mortem fingerprints continue to be an important challenge. Prior cleansing and reconditioning of the deceased finger is required before acquisition of the fingerprint. The victim’s finger needs to be precisely and carefully operated by a medium to record the fingerprint impression. This process may damage the structure of the finger, which subsequently leads to higher false rejection rates. (Published Abstract Provided)
      
  
          Additional Details
Grant Number(s)
        2014-IJ-CX-K003


  
  
        
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        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)


  
  
        
  Award
        Evaluation of The Use of A Non-Contact, 3D Scanner for Collecting Postmortem Fingerprints
    
  
  
Date Published: January 1, 2016
    
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