• DocumentCode
    3735637
  • Title

    The impact of bias in latent fingerprint identification

  • Author

    Andr?s Czebe;G?bor Kov?cs

  • Author_Institution
    Sz?chenyi Istv?n University, Department of Criminal Sciences, Research Center for Forensic Sciences and Criminology, Gy?r, Hungary
  • fYear
    2015
  • Firstpage
    569
  • Lastpage
    574
  • Abstract
    As demonstrated by the misidentification of Brandon Mayfield in the Madrid Train Bombing case, and a growing body of scientific research, it is clear that forensic examiners are prime candidates for cognitive biases. In this article, we overview latent fingerprint identification and methodology including the utilization of Automated Fingerprint Identification Systems. Then we consider recent empirical work on cognitive biases that can taint fingerprint examiners´ conclusions. Finally we provide methods that would minimize such impacts in latent fingerprint identification.
  • Keywords
    "Fingerprint recognition","Forensics","Friction","Databases","Observers","Fingers","Decision making"
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Infocommunications (CogInfoCom), 2015 6th IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/CogInfoCom.2015.7390656
  • Filename
    7390656