Document Decipherment-restoration: Strip-shredded Document Reconstruction based on Color

The strip-shredded document reconstruction is an often problem in questioned document examination. The proposed method uses the color as feature matching and then computes the Nearest-Neighbor algorithm using a distance matrix to carry out the reconstruction. The results reported in this paper achieved 97.68% - RGB and 98.53% - HSV models. These results take into account a two hundred documents database and demonstrate that color-matching-based method produces interesting results for the problem of document reconstruction and can be of interest to the forensic document examiners.