TY - CHAP A1 - Fischer, Robert A1 - Gruhn, Stefan A1 - Kiertscher, Tobias A1 - Vielhauer, Claus A1 - Makrushin, Andrey A1 - Dittmann, Jana T1 - Computer-Aided Contact-Less Localization of Latent Fingerprints in Low-Resolution CWL Scans T2 - In: Communications and Multimedia Security: 13th IFIP TC 6/TC 11 International Conference, CMS 2012, Canterbury, UK, September 3-5, 2012. Proceedings. De Decker, Bart (Ed.); Chadwick, David W. (Ed) [Lecture Notes in Compute Science. 7394. – ISSN 0302-9743]. Berlin: Springer, 2012. – ISBN 978-3-642-32804-6. N2 - 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. KW - Forensics KW - latent fingerprints KW - automated localization KW - contact-less acquisition KW - CWL sensor Y1 - 2012 U6 - https://doi.org/10.1007/978-3-642-32805-3_7 SP - 89 EP - 98 ER - TY - CHAP A1 - Makrushin, Andrey A1 - Hildebrandt, Mario A1 - Fischer, Robert A1 - Kiertscher, Tobias A1 - Dittmann, Jana A1 - Vielhauer, Claus T1 - Advanced techniques for latent fingerprint detection and validation using a CWL device T2 - In: Proceedings of SPIE 8436, 84360V. 2012. N2 - 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. © (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Y1 - 2012 U6 - https://doi.org/10.1117/12.922235 ER - TY - CHAP A1 - Makrushin, Andrey A1 - Kiertscher, Tobias A1 - Hildebrandt, Mario A1 - Dittmann, Jana A1 - Vielhauer, Claus T1 - Visibility enhancement and validation of segmented latent fingerprints in crime scene forensics T2 - Media watermarking, security, and forensics 2013 : 5 - 7 February 2013, Burlingame, California, United States ; proceedings ; [part of] IS&T/SPIE electronic imaging science and technology T3 - Proceedings of SPIE - Vo. 8665 Y1 - 2013 SN - 978-0-8194-9438-2 U6 - https://doi.org/10.1117/12.2003661 PB - SPIE CY - Bellingham, Wash. ER -