Academic Journal of Mathematical Sciences, 2026, 7(1); doi: 10.25236/AJMS.2026.070103.
Yikun Bai, Dopwang Pu
The School of Science, Tibet University, Lhasa, 850000, China
The splicing technology of broken files is a very important and highly applicable technology, which has important applications in the fields of judicial evidence restoration, historical document restoration, and military intelligence acquisition. Traditionally, splicing and restoration work needs to be completed manually, with high accuracy but low efficiency. Especially when the number of fragments is huge, manual splicing is difficult to complete the task in a short period of time. In today's rapidly developing computer technology, it is increasingly necessary to focus on developing automatic splicing technology for shredded paper to improve the efficiency of splicing and restoration. This article delves into this issue in depth, making full use of the powerful mathematical software . Ultimately, a total of 5 pieces of shredded paper, including horizontal and vertical cutting, Chinese and English, and single-sided and double-sided splicing and restoration work, were achieved for three major categories. For shredding paper sheets (only vertically cut) of printed text files on the same page, considering the small degree of paper fragmentation, the method of using software to obtain image data is not considered for now, but the macro stitching method is prioritized. The so-called macro stitching method is based on the cutting situation of each vertical cutting line on each line of text, and uses simple and effective methods to solve problems from a macro perspective. Subsequently, the probability of occurrence of concatenated duplicate codes in this method was provided to demonstrate its applicability.
Macro stitching method, Least squares method, MATLAB, Splicing of shredded paper pieces
Yikun Bai, Dopwang Pu. Research on Splicing and Restoration of Paper Fragments Based on MATLAB. Academic Journal of Mathematical Sciences (2026), Vol. 7, Issue 1: 17-24. https://doi.org/10.25236/AJMS.2026.070103.
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