Content representation and pairwise feature matching method for virtual reconstruction of shredded documents
| Autor: | Henry Zoberbier, Bertram Nickolay, Jan Schneider, Dirk Pohler, Jörg Krüger, Robert Zimmermann, Bastian Widdecke |
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| Rok vydání: | 2015 |
| Předmět: |
Relation (database)
business.industry Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Context (language use) Local optimum Feature (computer vision) Pairwise comparison Computer vision Artificial intelligence business Representation (mathematics) Feature detection (computer vision) |
| Zdroj: | ISPA |
| DOI: | 10.1109/ispa.2015.7306048 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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