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Image-Based Techniques for Shredded Document Reconstruction

  • Huei-Yung Lin
  • Wen-Cheng Fan-Chiang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5414)

Abstract

This paper proposes an image-based technique for shredded document reconstruction. The problem is different from solving jigsaw puzzles since curved boundaries and color information are not available. Currently most research on document recovery focuses on image feature exaction and analysis. In this work, we present a complete procedure which is capable of reconstructing a full page of shredded document. Similarity measure based on shred boundary correlation is defined for pattern matching. A weighted digraph is then used to derive the final shred sorting result. Experiments are presented for both the synthetic and real datasets.

Keywords

Word Length Binary Code Document Image Text Line Correlation Score 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Huei-Yung Lin
    • 1
  • Wen-Cheng Fan-Chiang
    • 1
  1. 1.Department of Electrical EngineeringNational Chung Cheng UniversityMin-HsiungTaiwan, ROC

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