The reconstruction of shredded documents consists of coherently arranging fragments of
paper (shreds) to recover the original document (s). A great challenge in computational …

Reconstruction of shredded documents remains a significant challenge. Creating a better
document reconstruction system enables not just recovery of information accidentally lost …

In this work, we present two new approaches based on variable neighborhood search (VNS)
and ant colony optimization (ACO) for the reconstruction of cross cut shredded text …

The reconstruction of destroyed paper documents became of more interest during the last
years. On the one hand it (often) occurs that documents are destroyed by mistake while on …

The reconstruction of shredded documents consists in arranging the pieces of paper
(shreds) in order to reassemble the original aspect of such documents. This task is …

In this paper, we propose a clustering approach for solving the problem of reconstructing
cross-cut shredded documents. This problem is important in the field of forensic science …

This paper presents a coarse-to-fine approach to eliminate unexpected shadows of multiple
pedestrians from a static and textured background using Gaussian shadow modeling. At the …

Digital reconstruction of mechanically shredded documents has received increasing
attention in the last years mainly for historical and forensics needs. Computational methods …

The advances in machine learning–particularly in deep learning–have enabled
automatizing the reconstruction of shredded documents with significant accuracy. However …

Reconstruction of cross-cut shredded text documents (RCCSTD) plays a crucial role in many
fields such as forensic and archeology. To handle and reconstruct the shreds, in addition to …