Printed fingerprints: a framework and first results towards detection of artificially printed latent fingerprints for forensics

Abstract

In Schwarz 1 an amino acid model for printing latent fingerprints to porous surfaces is introduced, motivated by the need for reproducibility tests of different development techniques for forensic investigations. However, this technique also enables the fabrication of artificial traces constituting a possible threat to security, motivating a need for research of appropriate detection techniques. In this paper a new framework for modelling the properties of a generic fingerprint examination process is introduced. Based on the framework, examination properties and detection properties are derived by a subjective evaluation. We suggest a first formalisation of exemplary properties, which can be easily extended to fit different needs. We present a first experimental setup limited to two printers and the Schwarz amino acid model using absorbing and non-absorbing material with first results to show tendencies and underline the necessity for further research.

High quality training materials to detect printed fingerprints: Benchmarking three different aquisition sensors producing printing templates

“…As shown in figure 2, we use the printing pipeline of [4] with six steps from the real latent fingerprint (FP a, a = see caption fig The inclusion of other image types remains future work. After acquisition, lab is binarized (d(lab )= bin(lab )) or, if acquired I n t I n t I n t with the CLSM, first rotated by 10 and then cropped and binarized (d(lab )= bin(crop(rot(lab )))).…”

“…Due to a potential misuse of Schwarz's method, Kiltz et al [4] and Hildebrandt et al [5] introduce subjective properties for examination and identification of printed fingerprints. Table 1 …”

Creation of a Public Corpus of Contact-Less Acquired Latent Fingerprints without Privacy Implications

“…The reproducibility of the printing results is primarily affected by the reliability of the printing process. Nozzles or the entire print head tend to be clotted [5] since the artificial sweat has different properties than the manufacturer ink. The realism of the printed latent fingerprints trace is also negatively affected by this effect leading to a visible pattern of amino acid dots instead of continuous ridge line impressions.…”

“…Thus, it is covered by privacy regulations and data protection acts. Moreover, the possibility of replicating biometric traits or traces can increase the risk for identity theft [5]. Hence, in some legislations, such as in Germany [3], the public usage of biometric data sets is challenging since certain rights must be granted to the person concerned.…”

“…We address this challenge by proposing a data set of contact-less acquired printed artificially created latent fingerprints for the evaluation of forensic techniques. In doing so, we want to generate latent fingerprints as realistic as possible while retaining the ability to detect them as motivated by Kiltz et al [5]. To avoid any privacy implications artificial fingerprint patterns are generated using SFinGe [6] and afterwards printed using a Canon Pixma iP4950 ink-jet printer with the technique of Schwarz [7].…”