Title :
A Probabilistic Model for Reconstruction of Torn Forensic Documents
Author :
Roy, Anirban ; Garain, U.
Author_Institution :
Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
Abstract :
In this paper we present a probabilistic approach to reconstruct a document from its torn pieces which is extremely helpful for the legal system. The method investigates several previously unexplored issues and proposes probabilistic dependencies of different (available) parts (or pieces) of a document. It iteratively calculates the probability of an arrangement subject to some constraints and attempts to produce the best possible configuration (or solution) using low level image statistics. The reconstruction method also ranks different (final) arrangements in order to help decision making process. Two types of data were used in the investigation. A set of documents where documents were torn naturally (as we do it in our daily life) and the second set consisting of documents that were torn to destroy particular evidences. Evaluation shows that the method is quite robust to tackle both the problems.
Keywords :
decision making; document image processing; forensic science; image reconstruction; probability; statistics; decision making; iterative calculation; legal system; low level image statistics; probabilistic model; probability; torn forensic document reconstruction; Approximation methods; Computational modeling; Forensics; Image edge detection; Image reconstruction; Probability; Shape; Colour Cue; Computational forensics; Document reconstruction; Probabilistic reconstruction; Shape prior; Torn documents;
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
Conference_Location :
Washington, DC
DOI :
10.1109/ICDAR.2013.105