Reconstructing shredded documents through feature matching.
We describe a procedure for reconstructing documents that have been shredded by hand, a problem that often arises in forensics. The proposed method first applies a polygonal approximation in order to reduce the complexity of the boundaries and then extracts relevant features of the polygon to carry out the local reconstruction. In this way, the overall complexity can be dramatically reduced because few features are used to perform the matching. The ambiguities resulting from the local reconstruction are resolved and the pieces are merged together as we search for a global solution. The preliminary results reported in this paper, which take into account a limited amount of shredded pieces (10-15) demonstrate that feature-matching-based procedure produces interesting results for the problem of document reconstruction.
Justino
Edson
E
Pontifical Catholic University of Parana (PUCPR), Graduate Program in Applied Computer Science (PPGIA), Rua Imaculada Conceição 1155, Prado Velho, 80215-901 Curitiba, PR, Brazil.
Oliveira
Luiz S
LS
Freitas
Cinthia
C