Identification Performance of Evidential Value Estimation for Fingermarks

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Abstract

Law enforcement agencies around the world use biometrics and fingerprints to solve and fight crime. Forensic experts are needed to record fingermarks at crime scenes and to ensure those captured are of evidential value. This process needs to be automated and streamlined as much as possible to improve efficiency and reduce workload. It has previously been demonstrated that is possible to estimate a fingermark's evidential value automatically for image captures taken with a mobile phone or other devices, such as a scanner or a high-quality camera. Here we study the relationship between a fingermark being of evidential value and its correct and certain identification and if it is possible to achieve identification despite the mark not having sufficient evidential value. Subsequently, we also investigate the influence the capture device used makes and if a mobile phone is a considerable option. Our results show that automatic identification is possible for 126 of the 1,428 fingermarks captured by a mobile phone, of which 116 were marked as having evidential value by experts and 123 by an automated algorithm.
Original languageUndefined
Title of host publicationProceedings of the 2015 International Conference of the Biometrics Special Interest Group (BIOSIG)
Place of PublicationBonn
PublisherGesellschaft für Informatik
Pages1-6
Number of pages6
ISBN (Print)978-3-88579-639-8
DOIs
Publication statusPublished - 15 Sep 2015
Event14th International Conference of the Biometrics Special Interest Group 2015 - Darmstadt, Germany
Duration: 9 Sep 201511 Sep 2015
Conference number: 14

Publication series

NameLecture Notes in Informatics (LNI) - Proceedings
PublisherGesellschaft für Informatik (GI)
VolumeP-245
ISSN (Print)1617-5468

Conference

Conference14th International Conference of the Biometrics Special Interest Group 2015
Abbreviated titleBIOSIG 2015
CountryGermany
CityDarmstadt
Period9/09/1511/09/15

Keywords

  • SCS-Safety
  • EWI-26416
  • crime scene
  • Biometrics
  • IR-98077
  • Fingerprint recognition
  • Forensics
  • METIS-315004
  • Evidential value

Cite this

Kotzerke, J., Kotzerke, J., Davis, S., Hayes, R., Spreeuwers, L. J., Veldhuis, R. N. J., & Horadam, K. J. (2015). Identification Performance of Evidential Value Estimation for Fingermarks. In Proceedings of the 2015 International Conference of the Biometrics Special Interest Group (BIOSIG) (pp. 1-6). (Lecture Notes in Informatics (LNI) - Proceedings; Vol. P-245). Bonn: Gesellschaft für Informatik. https://doi.org/10.1109/BIOSIG.2015.7314607
Kotzerke, J. ; Kotzerke, Johannes ; Davis, S. ; Hayes, R. ; Spreeuwers, Lieuwe Jan ; Veldhuis, Raymond N.J. ; Horadam, K.J. / Identification Performance of Evidential Value Estimation for Fingermarks. Proceedings of the 2015 International Conference of the Biometrics Special Interest Group (BIOSIG). Bonn : Gesellschaft für Informatik, 2015. pp. 1-6 (Lecture Notes in Informatics (LNI) - Proceedings).
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title = "Identification Performance of Evidential Value Estimation for Fingermarks",
abstract = "Law enforcement agencies around the world use biometrics and fingerprints to solve and fight crime. Forensic experts are needed to record fingermarks at crime scenes and to ensure those captured are of evidential value. This process needs to be automated and streamlined as much as possible to improve efficiency and reduce workload. It has previously been demonstrated that is possible to estimate a fingermark's evidential value automatically for image captures taken with a mobile phone or other devices, such as a scanner or a high-quality camera. Here we study the relationship between a fingermark being of evidential value and its correct and certain identification and if it is possible to achieve identification despite the mark not having sufficient evidential value. Subsequently, we also investigate the influence the capture device used makes and if a mobile phone is a considerable option. Our results show that automatic identification is possible for 126 of the 1,428 fingermarks captured by a mobile phone, of which 116 were marked as having evidential value by experts and 123 by an automated algorithm.",
keywords = "SCS-Safety, EWI-26416, crime scene, Biometrics, IR-98077, Fingerprint recognition, Forensics, METIS-315004, Evidential value",
author = "J. Kotzerke and Johannes Kotzerke and S. Davis and R. Hayes and Spreeuwers, {Lieuwe Jan} and Veldhuis, {Raymond N.J.} and K.J. Horadam",
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Kotzerke, J, Kotzerke, J, Davis, S, Hayes, R, Spreeuwers, LJ, Veldhuis, RNJ & Horadam, KJ 2015, Identification Performance of Evidential Value Estimation for Fingermarks. in Proceedings of the 2015 International Conference of the Biometrics Special Interest Group (BIOSIG). Lecture Notes in Informatics (LNI) - Proceedings, vol. P-245, Gesellschaft für Informatik, Bonn, pp. 1-6, 14th International Conference of the Biometrics Special Interest Group 2015, Darmstadt, Germany, 9/09/15. https://doi.org/10.1109/BIOSIG.2015.7314607

Identification Performance of Evidential Value Estimation for Fingermarks. / Kotzerke, J.; Kotzerke, Johannes; Davis, S.; Hayes, R.; Spreeuwers, Lieuwe Jan; Veldhuis, Raymond N.J.; Horadam, K.J.

Proceedings of the 2015 International Conference of the Biometrics Special Interest Group (BIOSIG). Bonn : Gesellschaft für Informatik, 2015. p. 1-6 (Lecture Notes in Informatics (LNI) - Proceedings; Vol. P-245).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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AU - Kotzerke, Johannes

AU - Davis, S.

AU - Hayes, R.

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AU - Veldhuis, Raymond N.J.

AU - Horadam, K.J.

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N2 - Law enforcement agencies around the world use biometrics and fingerprints to solve and fight crime. Forensic experts are needed to record fingermarks at crime scenes and to ensure those captured are of evidential value. This process needs to be automated and streamlined as much as possible to improve efficiency and reduce workload. It has previously been demonstrated that is possible to estimate a fingermark's evidential value automatically for image captures taken with a mobile phone or other devices, such as a scanner or a high-quality camera. Here we study the relationship between a fingermark being of evidential value and its correct and certain identification and if it is possible to achieve identification despite the mark not having sufficient evidential value. Subsequently, we also investigate the influence the capture device used makes and if a mobile phone is a considerable option. Our results show that automatic identification is possible for 126 of the 1,428 fingermarks captured by a mobile phone, of which 116 were marked as having evidential value by experts and 123 by an automated algorithm.

AB - Law enforcement agencies around the world use biometrics and fingerprints to solve and fight crime. Forensic experts are needed to record fingermarks at crime scenes and to ensure those captured are of evidential value. This process needs to be automated and streamlined as much as possible to improve efficiency and reduce workload. It has previously been demonstrated that is possible to estimate a fingermark's evidential value automatically for image captures taken with a mobile phone or other devices, such as a scanner or a high-quality camera. Here we study the relationship between a fingermark being of evidential value and its correct and certain identification and if it is possible to achieve identification despite the mark not having sufficient evidential value. Subsequently, we also investigate the influence the capture device used makes and if a mobile phone is a considerable option. Our results show that automatic identification is possible for 126 of the 1,428 fingermarks captured by a mobile phone, of which 116 were marked as having evidential value by experts and 123 by an automated algorithm.

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BT - Proceedings of the 2015 International Conference of the Biometrics Special Interest Group (BIOSIG)

PB - Gesellschaft für Informatik

CY - Bonn

ER -

Kotzerke J, Kotzerke J, Davis S, Hayes R, Spreeuwers LJ, Veldhuis RNJ et al. Identification Performance of Evidential Value Estimation for Fingermarks. In Proceedings of the 2015 International Conference of the Biometrics Special Interest Group (BIOSIG). Bonn: Gesellschaft für Informatik. 2015. p. 1-6. (Lecture Notes in Informatics (LNI) - Proceedings). https://doi.org/10.1109/BIOSIG.2015.7314607