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IFIP International Conference on Communications and Multimedia Security

CMS 2012: Communications and Multimedia Security pp 89–98Cite as

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Computer-Aided Contact-Less Localization of Latent Fingerprints in Low-Resolution CWL Scans

Computer-Aided Contact-Less Localization of Latent Fingerprints in Low-Resolution CWL Scans

  • Andrey Makrushin18,19,
  • Tobias Kiertscher19,
  • Robert Fischer19,
  • Stefan Gruhn19,
  • Claus Vielhauer19 &
  • …
  • Jana Dittmann18 
  • Conference paper
  • 982 Accesses

Part of the Lecture Notes in Computer Science book series (LNSC,volume 7394)

Abstract

In forensic investigations, the recovering of latent fingerprints is one of the most essential issues. Driven by human experts, today this process is very time consuming. An automation of both examination of suspicious areas and acquisition of fingerprints lead on the one hand to the covering of larger surfaces and on the other hand to significant speed up of the evidence collection. This work presents an experimental study on capabilities of chromatic white-light sensor (CWL) regarding the contact-less localization of latent fingerprints on differently challenging substrates. The fully automatic CWL-based system is implemented from the acquisition through the feature extraction right up to the classification. The key objective of the work is to develop a methodological approach for the quantitative evaluation of the localization success. Based on the proposed performance measures, the optimal system parameters such as scan resolution, extracted features and classification scheme are specified dependent on the surface material. Our experiments from an actual project with the sensor industry partner show convincing localization performance on easy-to-localize and adequate performance on moderate-to-localize substrates. The hard-to-localize substrates require further improvements of the localization system.

Keywords

  • Forensics
  • latent fingerprints
  • automated localization
  • contact-less acquisition
  • CWL sensor
  • quantitative evaluation

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Author information

Authors and Affiliations

  1. Otto-von-Guericke University of Magdeburg, Universitätsplatz 2, 39106, Magdeburg, Germany

    Andrey Makrushin & Jana Dittmann

  2. Brandenburg University of Applied Sciences, Magdeburger Str. 50, 14770, Brandenburg an der Havel, Germany

    Andrey Makrushin, Tobias Kiertscher, Robert Fischer, Stefan Gruhn & Claus Vielhauer

Authors
  1. Andrey Makrushin
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  2. Tobias Kiertscher
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  3. Robert Fischer
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  4. Stefan Gruhn
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  5. Claus Vielhauer
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  6. Jana Dittmann
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Editor information

Editors and Affiliations

  1. Department of Computer Science, IBBT-DistriNet, K.U. Leuven, Celestijnenlaan 200A, 3001, Leuven, Belgium

    Bart De Decker

  2. School of Computing, University of Kent, CT2 7NZ, Canterbury, Kent, UK

    David W. Chadwick

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© 2012 IFIP International Federation for Information Processing

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Cite this paper

Makrushin, A., Kiertscher, T., Fischer, R., Gruhn, S., Vielhauer, C., Dittmann, J. (2012). Computer-Aided Contact-Less Localization of Latent Fingerprints in Low-Resolution CWL Scans. In: De Decker, B., Chadwick, D.W. (eds) Communications and Multimedia Security. CMS 2012. Lecture Notes in Computer Science, vol 7394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32805-3_7

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  • DOI: https://doi.org/10.1007/978-3-642-32805-3_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32804-6

  • Online ISBN: 978-3-642-32805-3

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