Text-characteristic-based method for recovering documents crushed by paper shredder

Abstract

The invention discloses a text-characteristic-based method for recovering documents crushed by a paper shredder. The method concretely comprises three steps of image digitization, image pretreatment and image splicing, wherein the image splicing comprises the steps of carrying out opening operation with corrosion and then expansion on fragment images, searching Chinese characters inwards along the left and right edges of each document fragment subjected to the opening operation according to a template matrix, accurately recording the position of a 'horizontal stroke' on the edge of each Chinese character in the fragment images, and splicing each two adjacent fragment images by taking the total number of the matched strokes between each two fragments as a foundation according to the positions of the ' horizontal strokes' of the Chinese characters on the left edge and the right edge of the fragment images, wherein the two document fragments with the maximal total number of the matched strokes is the adjacent document fragments; and the processes are repeated on all the fragments, and the finally obtained image is the recovered Chinese document. The text-characteristic-based method can recover the Chinese documents crushed by the paper shredder, and fills a gap in the prior art.

Description

technical field [0001] The invention belongs to the technical field of image processing and information recovery, and in particular relates to a method for recovering documents broken by a shredder based on character features. Background technique [0002] Shredders have become an integral part of the office. Most enterprises, institutions, schools and the military will use shredders to destroy important documents, documents and materials for the sake of confidentiality. In fact, in many cases, it is necessary to restore the broken document. However, in the face of a large number of small and broken pieces of paper, if manual identification and splicing are carried out, it will mean a lot of boring work and a long time, and usually the results are not satisfactory. Computers have the ability to quickly process a large amount of data, but there is still very little research on the recovery of broken Chinese documents through computer algorithms, and there is no effective me...

AI Technical Summary

Problems solved by technology

However, in the face of a large number of small and broken pieces of paper, if manual identification and splicing are performed, it will mean a lot of boring work and a long time, and usually the results are not satisfactory

Computers have the ability to quickly process a large amount of data, but there is still very little research on the recovery of broken Chinese documents through computer algorithms, and there is no effective method to deal with this type of problem. Chinese document method

Images