Restauração e Decifração de Documentos: Reconstrução de Documentos do tipo "Spaghetti" com base na Cor (Document Decipherment-restoration: Strip-shredded Document Reconstruction based on Color)

Marlos Alex Oliveira Marques (, Cinthia Obladen Almendra Freitas (

1Faculdade Cenecista de Campo Largo
2Pontificia Universidade Catolica do Parana (PUCPR)

This paper appears in: Revista IEEE América Latina

Publication Date: Dec. 2013
Volume: 11,   Issue: 6 
ISSN: 1548-0992

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.

Index Terms:
Document Reconstruction, Strip-shredded Documents, Feature Extraction, Color Matching, Euclidean Distance   

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