The evaluation of fingermarks given activity level propositions

Anouk de Ronde; Bas Kokshoorn; Christianne J. de Poot; Marcel de Puit

doi:10.1016/j.forsciint.2019.109904

The evaluation of fingermarks given activity level propositions

Anouk de Ronde^*
, Bas Kokshoorn
, Christianne J. de Poot
, Marcel de Puit

^*Corresponding author for this work

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

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.

Original language	English
Article number	109904
Pages (from-to)	1-11
Number of pages	11
Journal	Forensic Science International
Volume	302
Early online date	30 Jul 2019
DOIs	https://doi.org/10.1016/j.forsciint.2019.109904
Publication status	Published - 1 Sept 2019

Funding

This work was supported by the RAAK-PRO funding of the Foundation Innovation Alliance (SIA – Stichting Innovatie Alliantie), research grant no. 2014-01-124PRO .

Funders	Funder number
Foundation Innovation Alliance
Stichting Innovatie Alliantie	2014-01-124PRO
Stichting Innovatie Alliantie

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Activity
Bayesian network
Evidence interpretation
Touch traces

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10.1016/j.forsciint.2019.109904

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Cite this

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title = "The evaluation of fingermarks given activity level propositions",

abstract = "Fingermarks are highly relevant in criminal investigations for individualization purposes. In some cases, the question in court changes from {\textquoteleft}Who is the source of the fingermarks?{\textquoteright} to {\textquoteleft}How did the fingermark end up on the surface?{\textquoteright}. 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.",

keywords = "Activity, Bayesian network, Evidence interpretation, Touch traces",

author = "\{de Ronde\}, Anouk and Bas Kokshoorn and \{de Poot\}, \{Christianne J.\} and \{de Puit\}, Marcel",

year = "2019",

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doi = "10.1016/j.forsciint.2019.109904",

language = "English",

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journal = "Forensic Science International",

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T1 - The evaluation of fingermarks given activity level propositions

AU - de Ronde, Anouk

AU - Kokshoorn, Bas

AU - de Poot, Christianne J.

AU - de Puit, Marcel

PY - 2019/9/1

Y1 - 2019/9/1

N2 - 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.

AB - 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.

KW - Activity

KW - Bayesian network

KW - Evidence interpretation

KW - Touch traces

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UR - https://www.scopus.com/pages/publications/85071284303#tab=citedBy

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DO - 10.1016/j.forsciint.2019.109904

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JO - Forensic Science International

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ER -

The evaluation of fingermarks given activity level propositions

Abstract

Funding

UN SDGs

Keywords

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