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Content representation and pairwise feature matching method for virtual reconstruction of shredded documents

: Pöhler, D.; Zimmermann, R.; Widdecke, B.; Zoberbier, H.; Schneider, J.; Nickolay, B.; Krüger, J.


Loncaric, S. ; Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
9th International Symposium on Image and Signal Processing and Analysis, ISPA 2015 : Zagreb, Croatia, 7-9 September 2015
Piscataway, NJ: IEEE, 2015
ISBN: 978-1-4673-8033-1
ISBN: 978-1-4673-8032-4 (Online)
ISBN: 978-1-4673-8031-7 (USB)
International Symposium on Image and Signal Processing and Analysis (ISPA) <9, 2015, Zagreb>
Conference Paper
Fraunhofer IPK ()

In forensics, virtual reconstruction of shredded documents is a well-known problem. Semi-automatic document reconstruction systems are usually used for virtual reconstruction. Here a content feature extraction, a content feature representation and a 1:1-matching-method for the use in such reconstruction systems are presented. The content representation is given in the form of so-called abstract structure objects (ASO), which are calculated based on foreground information distributions and on color categories. The presented 1:1-matching-method calculates local optima and places these optima in a global context in relation to cut-edge-pair. Experiments were performed on different real-world-datasets with different foreground characteristics. We show the good discrimination power of the presented method for the use in reconstruction systems regardless of the type of foreground information.