The evaluation of fingermarks given activity level propositions

被引：17

作者：

de Ronde, Anouk ^{[1
,2
,3
]}

Kokshoorn, Bas ^{[3
]}

de Poot, Christianne J. ^{[1
,2
,4
]}

de Puit, Marcel ^{[3
,5
]}

机构：

[1] Amsterdam Univ Appl Sci, Weesperzijde 190, NL-1097 DZ Amsterdam, Netherlands

[2] Vrije Univ Amsterdam, De Boelelaan 1105, NL-1081 HV Amsterdam, Netherlands

[3] Netherlands Forens Inst, Laan van Ypenburg 6, NL-2497 GB The Hague, Netherlands

[4] Police Acad Netherlands, POB 348, NL-7301 BB Apeldoorn, Netherlands

[5] Delft Univ Technol, Van der Maasweg 9, NL-2629 HZ Delft, Netherlands

来源：

FORENSIC SCIENCE INTERNATIONAL | 2019年 / 302卷

关键词：

Touch traces; Evidence interpretation; Activity; Bayesian network; BAYESIAN NETWORKS; DNA; FINGERPRINT;

D O I：

10.1016/j.forsciint.2019.109904

中图分类号：

DF [法律]; D9 [法律]; R [医药、卫生];

学科分类号：

0301 ; 10 ;

摘要：

Fingermarks are highly relevant in criminal investigations for individualization purposes. In some cases, the question in court changes from 'Who is the source of the fingermarks?' to 'How did the fingermark end up on the surface?'. In this paper, we explore the evaluation of fingermarks given activity level propositions by using Bayesian networks. The variables that provide information on activity level questions for fingermarks are identified and their current state of knowledge with regards to fingermarks is discussed. We identified the variables transfer, persistency, recovery, background fingermarks, location of the fingermarks, direction of the fingermarks, the area of friction ridge skin that left the mark and pressure distortions as variables that may provide information on how a fingermark ended up on a surface. Using three case examples, we show how Bayesian networks can be used for the evaluation of fingermarks given activity level propositions. (C) 2019 The Authors. Published by Elsevier B.V.

引用

页数：11

共 32 条

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