Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Enhancement and Restoration of Digital Documents: Statistical Design of Nonlinear Algorithms
Enhancement and Restoration of Digital Documents: Statistical Design of Nonlinear Algorithms
A Multiscale Method for the Reassembly of Two-Dimensional Fragmented Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracing the Source of a Shredded Document
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
A global approach to automatic solution of jigsaw puzzles
Computational Geometry: Theory and Applications - Special issue on the 18th annual symposium on computational geometry—SoCG2002
Globally Consistent Reconstruction of Ripped-Up Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
Perspective rectification of document images using fuzzy set and morphological operations
Image and Vision Computing
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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.