Database and data management requirements for equalization of contactless acquired traces for forensic purposes

Abstract

The importance of fingerprints and microtraces within the field of criminalistics and forensics is well known. To increases probative values of such evidences several techniques of lifting, enhancement and feature extraction exist. An upcoming field is the contactless acquisition of traces, because the integrity of traces is preserved. Hence, dealing with digital representations of traces is challenging because of the amount of data and their complexity. A further issue from such an acquisition method is the potential presence of perspective distortions, which we already started to deal with in [KCDV12]. Within the scope of a productive use of contactless acquisition methods, pre-processing steps like the equalization come along. In this short motivational paper we want to give a perspective on requirements for an underlying database and database management system to support the methods of [KCDV12] as a potential real-case scenario. Thereby, we point out possible starting points for parallelization potential and frequent queries, especially when using filter masks.