Literature DB >> 16253453

Reconstructing shredded documents through feature matching.

Edson Justino1, Luiz S Oliveira, Cinthia Freitas.   

Abstract

We describe a procedure for reconstructing documents that have been shredded by hand, a problem that often arises in forensics. The proposed method first applies a polygonal approximation in order to reduce the complexity of the boundaries and then extracts relevant features of the polygon 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 ambiguities resulting from the local reconstruction are resolved and the pieces are merged together as we search for a global solution. The preliminary results reported in this paper, which take into account a limited amount of shredded pieces (10-15) demonstrate that feature-matching-based procedure produces interesting results for the problem of document reconstruction.

Year:  2005        PMID: 16253453     DOI: 10.1016/j.forsciint.2005.09.001

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  1 in total

1.  AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments.

Authors:  Gregory Penzias; Andrew Janowczyk; Asha Singanamalli; Mirabela Rusu; Natalie Shih; Michael Feldman; Phillip D Stricker; Warick Delprado; Sarita Tiwari; Maret Böhm; Anne-Maree Haynes; Lee Ponsky; Satish Viswanath; Anant Madabhushi
Journal:  Sci Rep       Date:  2016-07-26       Impact factor: 4.379

  1 in total

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