TY - CHAP A1 - Fischer, Robert A1 - Gruhn, Stefan A1 - Kiertscher, Tobias A1 - Scheidat, Tobias A1 - Vielhauer, Claus T1 - A Feature Collection and first Feature Fusion Approaches for latent Fingerprint Detection using a ChromaticWhite Light (CWL) Sensor Device T2 - 13th Joint IFIP TC6 and TC11 Conference on Communications and Multimedia Security. Canterbury, UK: 03.09.2012 Y1 - 2012 SP - 207 EP - 210 PB - Springer LNCS ER - 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 - Fischer, Robert A1 - Kiertscher, Tobias A1 - Gruhn, Stefan A1 - Scheidat, Tobias A1 - Vielhauer, Claus ED - De Decker, Bart T1 - From Biometrics to Forensics: A Feature Collection and first Feature Fusion Approaches for latent Fingerprint Detection using a Chromatic White Light (CWL) Sensor T2 - In: Communications and multimedia security : 13th IFIP TC 6 TC 11 international conference ; proceedings / CMS 2012, Canterbury, UK, September 3 - 5, 2012 N2 - Application of non-invasive scan technologies for acquisition of latent fingerprints promise a better support of forensic and dactyloscopic experts when securing evidence at crime scenes. Furthermore, non-destructive acquisition preserve the chance of subsequent chemical and forensic analysis of left residue. Based on results of an ongoing research project with sensor industry partners, this paper presents a collection of 28 statistical, gradient-, and spectral density-based features for latent fingerprint detection using low resolution scans. Within this work a chromatic white light (CWL) sensor is used for image acquisition. Furthermore, based on concepts of biometric fusion, a taxonomy for possible fusion strategies is presented and very first results for three different strategies on decision level are discussed. Experimental evaluation is performed based on scans of 1680 latent fingerprints on three different surfaces. The results show very good performance on planar, non-absorbing surfaces with uniform reflection characteristics with an detection rate of 2.51% in the best case. On the other hand difficulties are arising from surfaces with non-uniform/predictable reflection characteristics. T3 - Lecture notes in computer science - 7394 Y1 - 2012 SN - 978-3-642-32804-6 U6 - https://doi.org/10.1007/978-3-642-32805-3_21 SP - 207 EP - 210 PB - Springer CY - Berlin ER - TY - CHAP A1 - Fischer, Robert A1 - Vielhauer, Claus A1 - Hildebrandt, Mario A1 - Kiltz, Stefan A1 - Dittmann, Jana ED - Alattar, Adnan M. T1 - Ballistic examinations based on 3D data: a comparative study of probabilistic Hough Transform and geometrical shape determination for circle-detection on cartridge bottoms 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 - 8665 Y1 - 2013 SN - 978-0-8194-9438-2 PB - SPIE CY - Bellingham, Wash. ER - TY - CHAP A1 - Fischer, Robert A1 - Vielhauer, Claus ED - Uhl, Andreas T1 - Digital Crime Scene Analysis: Automatic Matching of Firing Pin Impressions on Cartridge Bottoms Using 2D and 3D Spatial Features T2 - Proceedings of the 2014 ACM Information Hiding and Multimedia Security Workshop : June 11 - 13, 2014, Salzburg, Austria Y1 - 2014 SN - 978-1-4503-2647-6 SP - 77 EP - 82 PB - ACM CY - New York ER -