Toward better AFIS practice and process in the forensic fingerprint environment.

Forensic Sci Int Synerg

National Police of the Netherlands, Manager National Criminal ABIS, the Netherlands.

Published: June 2023

AI Article Synopsis

  • Automated Fingerprint Identification Systems (AFIS) are crucial in forensic settings but usually only serve as search systems with limited support for best practices.
  • The paper outlines best practice approaches divided into three key areas: factors affecting AFIS performance, the search process used by the National Police of the Netherlands (NPN) to reduce bias and error, and additional considerations for enhancing AFIS effectiveness.
  • The authors aim to establish NPN as a benchmark for AFIS practices, encouraging dialogue among AFIS communities to improve fingerprint identification processes in forensic environments.

Article Abstract

Automated Fingerprint Identification Systems (AFIS) are used in forensic operational environments worldwide. Traditionally, these systems are search systems only and have limited workflow to support forensic processes in recommended best-practice approaches. This paper addresses this issue by presenting best practice approaches and processes for AFIS in forensic environments. The discussion is divided into three parts. First, we identify three factors that can impact the performance of AFIS in forensic environments. Second, we discuss the search process and highlight how the National Police of the Netherlands (NPN) strategies to mitigate bias and error in their AFIS workflow. Finally, we briefly discuss other considerations for establishing best-practice. We offer resources for biometric managers and users, providing an overview of the best AFIS practices in forensic environments. We propose the NPN system as a benchmark and aim to foster discussions among AFIS communities to enhance AFIS practices and processes in forensic fingerprint environments.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338967PMC
http://dx.doi.org/10.1016/j.fsisyn.2023.100336DOI Listing

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