Introducing a Semi-Automatic Method to Simulate Large Numbers of Forensic Fingermarks for Research on Fingerprint Identification

Crystal M. Rodriguez*, Arent De Jongh, Didier Meuwly

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

18 Citations (Scopus)

Abstract

Statistical research on fingerprint identification and the testing of automated fingerprint identification system (AFIS) performances require large numbers of forensic fingermarks. These fingermarks are rarely available. This study presents a semi-automatic method to create simulated fingermarks in large quantities that model minutiae features or images of forensic fingermarks. This method takes into account several aspects contributing to the variability of forensic fingermarks such as the number of minutiae, the finger region, and the elastic deformation of the skin. To investigate the applicability of the simulated fingermarks, fingermarks have been simulated with 5-12 minutiae originating from different finger regions for six fingers. An AFIS matching algorithm was used to obtain similarity scores for comparisons between the minutiae configurations of fingerprints and the minutiae configurations of simulated and forensic fingermarks. The results showed similar scores for both types of fingermarks suggesting that the simulated fingermarks are good substitutes for forensic fingermarks.

Original languageEnglish
Pages (from-to)334-342
Number of pages9
JournalJournal of Forensic Sciences
Volume57
Issue number2
DOIs
Publication statusPublished - Mar 2012
Externally publishedYes

Keywords

  • n/a OA procedure
  • Fingerprint
  • Forensic science
  • Identification
  • Individualization
  • Likelihood ratio
  • Simulated fingermarks
  • Skin deformation
  • Fingermark

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