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Measuring the Rarity of Fingerprint Patterns in the Dutch Population Using an Extended Classification Set.
de Jongh, Arent; Lubach, Anko R; Lie Kwie, Sheryl L; Alberink, Ivo.
Afiliação
  • de Jongh A; The Netherlands Forensic Institute, Laan van Ypenburg 6, The Hague, The Netherlands.
  • Lubach AR; The Netherlands Forensic Institute, Laan van Ypenburg 6, The Hague, The Netherlands.
  • Lie Kwie SL; The Netherlands Forensic Institute, Laan van Ypenburg 6, The Hague, The Netherlands.
  • Alberink I; The Netherlands Forensic Institute, Laan van Ypenburg 6, The Hague, The Netherlands.
J Forensic Sci ; 64(1): 108-119, 2019 Jan.
Article em En | MEDLINE | ID: mdl-29889979
Latent print examiners often use their experience and knowledge to reach a conclusion on the identity of the source. Their conclusion is primarily based on their personal opinion on the rarity of the matching fingerprint features. Fingerprint patterns, if present, can play a significant role in the final assessment of a match. The authors believe that statistical data on the rarity of fingerprint patterns strengthens the subjective evaluation of the corresponding information. In order to provide fingerprint examiners with additional numerical support, fingerprint patterns were manually classified in a set of 24,104 fingerprints. In this study the frequencies of occurrence of 35 different fingerprint patterns have been obtained. The frequency data presented in this study can be used in the ACE-V process applied in forensic casework, allowing for the assessment of the evidential strength related to a specific fingerprint pattern type.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: J Forensic Sci Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: J Forensic Sci Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Holanda