Discriminating fingermarks with evidential value for forensic comparison

Johannes Kotzerke; J. Kotzerke; S.A. Davis; R. Hayes; Lieuwe Jan Spreeuwers; Raymond N.J. Veldhuis; K.J. Horadam

doi:10.1109/IWBF.2015.7110220

Discriminating fingermarks with evidential value for forensic comparison

Johannes Kotzerke, J. Kotzerke, S.A. Davis, R. Hayes, Lieuwe Jan Spreeuwers, Raymond N.J. Veldhuis, K.J. Horadam

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

12 Downloads (Pure)

Abstract

Law enforcement agencies all around the world are using biometrics and especially fingerprints to solve and fight crime. Often forensic experts are needed to record fingermarks at crime scenes and to ensure that those captured are of forensic value. In times of increased demand for forensic services, this process needs to be automated and streamlined as much as possible to improve efficiency and reduce workload. Hence, we investigate if the forensic evidential value (suitability for forensic analysis and/or examination) of fingermark images can be determined at an early stage automatically without any expert involvement, especially when using a mobile phone camera. We explore the interplay of different factors such as the capture device and the constraints inferred, image feature sets and classifiers used, and their interplay. A database of 1,428 pseudo fingermarks has been collected and its ground truth, whether a mark is of forensic value or not, has been determined by 3 experts. The lowest equal error rate achieved, when using a mobile phone to capture the marks, is 13.62%. These promising results suggest that it might be possible to streamline forensic procedures by the application of an independent automated tool to assist with certain tasks.

Original language	Undefined
Title of host publication	Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Print)	978-1-4799-8105-2
DOIs	https://doi.org/10.1109/IWBF.2015.7110220
Publication status	Published - Mar 2015
Event	3rd International Workshop on Biometrics and Forensics, IWBF 2015 - Gjovik, Norway, Gjøvik, Norway Duration: 3 Mar 2015 → 4 Mar 2015 Conference number: 3

Publication series

Name
Publisher	IEEE

Conference

Conference	3rd International Workshop on Biometrics and Forensics, IWBF 2015
Abbreviated title	IWBF 2015
Country/Territory	Norway
City	Gjøvik
Period	3/03/15 → 4/03/15
Other	3-4 March, 2015

Keywords

EWI-25945
SCS-Safety
Fingermark
IR-95699
Quality estimation
Sufficient forensic evidential value
METIS-312558
Mobile phone capture

Access to Document

10.1109/IWBF.2015.7110220

http://eprints.eemcs.utwente.nl/secure2/25945/01/IWBF_2015_Template.pdf

Cite this

@inproceedings{72deb4c2756145cabc51fdde07a0760f,

title = "Discriminating fingermarks with evidential value for forensic comparison",

abstract = "Law enforcement agencies all around the world are using biometrics and especially fingerprints to solve and fight crime. Often forensic experts are needed to record fingermarks at crime scenes and to ensure that those captured are of forensic value. In times of increased demand for forensic services, this process needs to be automated and streamlined as much as possible to improve efficiency and reduce workload. Hence, we investigate if the forensic evidential value (suitability for forensic analysis and/or examination) of fingermark images can be determined at an early stage automatically without any expert involvement, especially when using a mobile phone camera. We explore the interplay of different factors such as the capture device and the constraints inferred, image feature sets and classifiers used, and their interplay. A database of 1,428 pseudo fingermarks has been collected and its ground truth, whether a mark is of forensic value or not, has been determined by 3 experts. The lowest equal error rate achieved, when using a mobile phone to capture the marks, is 13.62%. These promising results suggest that it might be possible to streamline forensic procedures by the application of an independent automated tool to assist with certain tasks.",

keywords = "EWI-25945, SCS-Safety, Fingermark, IR-95699, Quality estimation, Sufficient forensic evidential value, METIS-312558, Mobile phone capture",

author = "Johannes Kotzerke and J. Kotzerke and S.A. Davis and R. Hayes and Spreeuwers, {Lieuwe Jan} and Veldhuis, {Raymond N.J.} and K.J. Horadam",

note = "10.1109/IWBF.2015.7110220 ; 3rd International Workshop on Biometrics and Forensics, IWBF 2015 ; Conference date: 03-03-2015 Through 04-03-2015",

year = "2015",

month = mar,

doi = "10.1109/IWBF.2015.7110220",

language = "Undefined",

isbn = "978-1-4799-8105-2",

publisher = "IEEE",

pages = "1--6",

booktitle = "Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015",

address = "United States",

}

Kotzerke, J, Kotzerke, J, Davis, SA, Hayes, R, Spreeuwers, LJ , Veldhuis, RNJ & Horadam, KJ 2015, Discriminating fingermarks with evidential value for forensic comparison. in Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015. IEEE, Piscataway, NJ, USA, pp. 1-6, 3rd International Workshop on Biometrics and Forensics, IWBF 2015, Gjøvik, Norway, 3/03/15. https://doi.org/10.1109/IWBF.2015.7110220

Discriminating fingermarks with evidential value for forensic comparison. / Kotzerke, Johannes; Kotzerke, J.; Davis, S.A. et al.
Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015. Piscataway, NJ, USA: IEEE, 2015. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Discriminating fingermarks with evidential value for forensic comparison

AU - Kotzerke, Johannes

AU - Kotzerke, J.

AU - Davis, S.A.

AU - Hayes, R.

AU - Spreeuwers, Lieuwe Jan

AU - Veldhuis, Raymond N.J.

AU - Horadam, K.J.

N1 - Conference code: 3

PY - 2015/3

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N2 - Law enforcement agencies all around the world are using biometrics and especially fingerprints to solve and fight crime. Often forensic experts are needed to record fingermarks at crime scenes and to ensure that those captured are of forensic value. In times of increased demand for forensic services, this process needs to be automated and streamlined as much as possible to improve efficiency and reduce workload. Hence, we investigate if the forensic evidential value (suitability for forensic analysis and/or examination) of fingermark images can be determined at an early stage automatically without any expert involvement, especially when using a mobile phone camera. We explore the interplay of different factors such as the capture device and the constraints inferred, image feature sets and classifiers used, and their interplay. A database of 1,428 pseudo fingermarks has been collected and its ground truth, whether a mark is of forensic value or not, has been determined by 3 experts. The lowest equal error rate achieved, when using a mobile phone to capture the marks, is 13.62%. These promising results suggest that it might be possible to streamline forensic procedures by the application of an independent automated tool to assist with certain tasks.

AB - Law enforcement agencies all around the world are using biometrics and especially fingerprints to solve and fight crime. Often forensic experts are needed to record fingermarks at crime scenes and to ensure that those captured are of forensic value. In times of increased demand for forensic services, this process needs to be automated and streamlined as much as possible to improve efficiency and reduce workload. Hence, we investigate if the forensic evidential value (suitability for forensic analysis and/or examination) of fingermark images can be determined at an early stage automatically without any expert involvement, especially when using a mobile phone camera. We explore the interplay of different factors such as the capture device and the constraints inferred, image feature sets and classifiers used, and their interplay. A database of 1,428 pseudo fingermarks has been collected and its ground truth, whether a mark is of forensic value or not, has been determined by 3 experts. The lowest equal error rate achieved, when using a mobile phone to capture the marks, is 13.62%. These promising results suggest that it might be possible to streamline forensic procedures by the application of an independent automated tool to assist with certain tasks.

KW - EWI-25945

KW - SCS-Safety

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KW - IR-95699

KW - Quality estimation

KW - Sufficient forensic evidential value

KW - METIS-312558

KW - Mobile phone capture

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DO - 10.1109/IWBF.2015.7110220

M3 - Conference contribution

SN - 978-1-4799-8105-2

SP - 1

EP - 6

BT - Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015

PB - IEEE

CY - Piscataway, NJ, USA

T2 - 3rd International Workshop on Biometrics and Forensics, IWBF 2015

Y2 - 3 March 2015 through 4 March 2015

ER -