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3 May 2012Advanced techniques for latent fingerprint detection and validation using a CWL device
The technology-aided support of forensic experts while investigating crime scenes and collecting traces becomes a more
and more important part in the domains of image acquisition and signal processing. The manual lifting of latent
fingerprints using conventional methods like the use of carbon black powder is time-consuming and very limited in its
scope of application. New technologies for a contact-less and non-invasive acquisition and automatic processing of latent
fingerprints, promise the possibilities to inspect much more and larger surface areas and can significantly simplify and
speed up the workflow. Furthermore, it allows multiple investigations of the same trace, subsequent chemical analysis of
the residue left behind and the acquisition of latent fingerprints on sensitive surfaces without destroying the surface itself.
In this work, a FRT MicroProf200 surface measurement device equipped with a chromatic white-light sensor CWL600 is
used. The device provides a gray-scale intensity image and 3D-topography data simultaneously. While large area scans
are time-consuming, the detection and localization of finger traces are done based on low-resolution scans. The localized
areas are scanned again with higher resolution. Due to the broad variety of different surface characteristics the fingerprint
pattern is often overlaid by the surface structure or texture. Thus, image processing and classification techniques are
proposed for validation and visualization of ridge lines in high-resolution scans. Positively validated regions containing
complete or sufficient partial fingerprints are passed on to forensic experts. The experiments are provided on a set of
three surfaces with different reflection and texture characteristics, and fingerprints from ten different persons.
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Andrey Makrushin, Mario Hildebrandt, Robert Fischer, Tobias Kiertscher, Jana Dittmann, Claus Vielhauer, "Advanced techniques for latent fingerprint detection and validation using a CWL device," Proc. SPIE 8436, Optics, Photonics, and Digital Technologies for Multimedia Applications II, 84360V (3 May 2012); https://doi.org/10.1117/12.922235