Mario Hildebrandt

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This paper provides first ideas and considerations for designing and developing future technologies relevant for challenging privacy-preserving preventive applications of contact-less sensors. We introduce four use-cases: preventive detailed acquisition of fingerprints, coarse scans for fingerprint localisation, separation of overlapping fingerprints and(More)
The contact-less acquisition of untreated latent fingerprint traces with various sensing and image processing techniques is an upcoming opportunity in crime scene forensics. Current analyses of imaging sensor systems show the applicability but dependence on several factors e.g. substrate type, latent trace structure and scanning technology. Also,(More)
Forensic investigators are permanently looking for novel technologies for fast and effective recovering of latent fingerprints at a crime scene. Traditionally, this work is done manually and therefore considered very time consuming. Highly skilled experts apply chemical reagents to improve visibility of traces and use digital cameras or adhesive tape to(More)
Traditional forensic disciplines get increasingly digitized. This allows for new investigations and often provides more details for each trace. Due to this digitalization, digital and digitized forensic disciplines have very similar courses of action and requirements. Therefore, we introduce a generic process model, which can be easily adapted for different(More)
With the advent of new contact-less sensors for forensic investigations of latent fingerprint traces, the authors see the need for a benchmarking framework to evaluate existing devices and promising combinations of data acquisition and signal processing techniques. This paper extends the existing benchmarking framework from [1] by categorizing it into(More)
In this paper, we address the problem of assessing the overall quality of forgery detection approaches for artificial sweat printed latent fingerprints placed at crime scenes. It is very important to have reliable detection mechanisms tested on manifold characteristics caused for example by different surfaces, printers and during acquisition, avoiding(More)
In our paper we investigate the attack based on means of artificial sweat printed fingerprint forgeries at crime scenes by studying the attack chain in general and derive potential context properties from the attack, which help to describe the attack more precisely. Based on the attack chain context properties, potential detection and context anomaly(More)