Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
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This paper discusses the destroyed documents that have been strip-shredded, which is a often problem in forensic science. The proposed method first extracts features based on color of the boundaries and then computes the nearest neighbor algorithm 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 preliminary results reported in this paper, which take into account a two hundred documents database, 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 and provide some effective solutions for law enforcement practitioners.