Faculty Of Computer Science Graduation Project

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Reassemble Destroyed Paper
(October University for Modern Sciences and Arts, 2018) Youssef, Heba
This project looks at the challenges of creating the automatic system for reconstruction shredded documents cut vertically (strip) and vertically, horizontally (cross- cut). The un-shredding problem is of interest in the fields of forensics, investigative sciences, archaeology and criminal investigation. All stages of the un-shredding pipeline are analysed, starting from uploaded images of shreds and ending with reconstructed documents. The current bottlenecks in this pipeline are identified and solutions are proposed. At the beginning a formal definition of this problem and references to related work will be given. While there are some approaches published dealing with the reconstruction of destroyed paper in general, there is barely work done in the field of cross-cut shredding then giving an introduction to algorithm of ant-colony. The solutions proposed in this project start with narrowing problem then implement two reconstruction approaches to improve the results. First approach, Character database, Feature matching algorithm, Row Clustering, Estimate error evaluation function and Greedy classifier then get the results. To improve the results that belongs to first approach we implement second approach. Second approach is reconstructing by Ant colony algorithm by estimate different error evaluation function then apply the algorithm.