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

doi:10.1109/BIOSIG.2015.7314607

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 proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

10 Downloads (Pure)

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 language	Undefined
Title of host publication	Proceedings of the 2015 International Conference of the Biometrics Special Interest Group (BIOSIG)
Place of Publication	Bonn
Publisher	Gesellschaft für Informatik
Pages	1-6
Number of pages	6
ISBN (Print)	978-3-88579-639-8
DOIs	https://doi.org/10.1109/BIOSIG.2015.7314607
Publication status	Published - 15 Sept 2015
Event	14th International Conference of the Biometrics Special Interest Group 2015 - Darmstadt, Germany Duration: 9 Sept 2015 → 11 Sept 2015 Conference number: 14

Publication series

Name	Lecture Notes in Informatics (LNI) - Proceedings
Publisher	Gesellschaft für Informatik (GI)
Volume	P-245
ISSN (Print)	1617-5468

Conference

Conference	14th International Conference of the Biometrics Special Interest Group 2015
Abbreviated title	BIOSIG 2015
Country/Territory	Germany
City	Darmstadt
Period	9/09/15 → 11/09/15

Keywords

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

Access to Document

10.1109/BIOSIG.2015.7314607

http://eprints.eemcs.utwente.nl/secure2/26416/01/Kotzerke15_Identification_performance_of_evidential_value_estimation_for_fingermarks.pdf

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). Gesellschaft für Informatik. https://doi.org/10.1109/BIOSIG.2015.7314607

@inproceedings{83d43d95179546f5946fea9acb50a13b,

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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year = "2015",

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doi = "10.1109/BIOSIG.2015.7314607",

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isbn = "978-3-88579-639-8",

series = "Lecture Notes in Informatics (LNI) - Proceedings",

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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. et al.
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 proceeding › Conference contribution › Academic › peer-review

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AU - Veldhuis, Raymond N.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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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). doi: 10.1109/BIOSIG.2015.7314607