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
Link To Document :
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