Literature DB >> 29273569

Forensic face recognition as a means to determine strength of evidence: A survey.

C G Zeinstra1, D Meuwly1,2, A Cc Ruifrok2, R Nj Veldhuis1, L J Spreeuwers1.   

Abstract

This paper surveys the literature on forensic face recognition (FFR), with a particular focus on the strength of evidence as used in a court of law. FFR is the use of biometric face recognition for several applications in forensic science. It includes scenarios of ID verification and open-set identification, investigation and intelligence, and evaluation of the strength of evidence. We present FFR from operational, tactical, and strategic perspectives. We discuss criticism of FFR and we provide an overview of research efforts from multiple perspectives that relate to the domain of FFR. Finally, we sketch possible future directions for FFR.
Copyright © 2018 Central Police University.

Keywords:  FISWG; Facial biometrics; forensic face recognition (FFR) approaches; forensics

Mesh:

Year:  2018        PMID: 29273569

Source DB:  PubMed          Journal:  Forensic Sci Rev        ISSN: 1042-7201


  1 in total

1.  Likelihood Ratios for Deep Neural Networks in Face Comparison.

Authors:  Andrea Macarulla Rodriguez; Zeno Geradts; Marcel Worring
Journal:  J Forensic Sci       Date:  2020-05-12       Impact factor: 1.832

  1 in total

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