DocumentCode
3487065
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
fYear
2013
fDate
25-28 Aug. 2013
Firstpage
494
Lastpage
498
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
Conference_Location
Washington, DC
ISSN
1520-5363
Type
conf
DOI
10.1109/ICDAR.2013.105
Filename
6628670
Link To Document