Science and technology project duplicate checking method for carrying out big data matching calculation based on image partitioning

Abstract

The invention discloses a science and technology project duplicate checking method for carrying out big data matching calculation based on image partitioning, and the method comprises the following steps: 1, carrying out the analysis of existing science and technology project data, and respectively building a corresponding image library and a text library; 2, segmenting the pictures in the picturelibrary, and dividing the pictures into different regions according to a segmentation algorithm; 3, obtaining the picture and region internal feature information; 4, analyzing the scientific researchproject data of the pre-established project, extracting pictures in the scientific research project data, and carrying out picture segmentation on the pictures; and 5, comparing the feature information of the existing science and technology projects with the scientific research projects of the pre-established projects, obtaining coincidence values of the existing science and technology projects and the scientific research projects of the pre-established projects according to the similarity of the picture feature information and the weights of the feature information, and performing sorting according to the sizes of the coincidence values to obtain a first duplicate checking result. According to the invention, the duplicate checking rate of science and technology projects can be improved,and missed detection or wrong detection is effectively avoided.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a scientific and technological item plagiarism checking method for large data matching calculation based on image partitions. Background technique [0002] According to statistics, the repetition rate of my country's scientific research projects is as high as 40%, and among the other 60%, the repetition rate with foreign countries accounts for more than 30%. Repeated project approval not only causes a large waste of scientific and technological resources, but also leads to the disorderly development of scientific research activities and a large number of low-level repetitions, which seriously damages the spirit of pioneering and innovative scientific research and hinders the pace of national scientific and technological development. [0003] At present, some scholars have studied the methods and mechanisms of some project plagiarism checks, and have made some progress. ...

AI Technical Summary

Problems solved by technology

[0008] The above-mentioned existing technologies have the following problems: they all use text similarity to check plagiarism of scientific and technological projects, but the expressions of existing scientific and technological project achievements such as papers, monographs or patents are all written in various languages. The difference is huge, relying too much on the language level of the checker, it is difficult to avoid missing or wrong detection

However, there is no report on the use of image similarity as a means of plagiarism checking for scientific and technological items in the existing technology project plagiarism check

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