Table structure identification method and device, electronic equipment and storage medium

Abstract

The invention relates to the artificial intelligence technology, and discloses a table structure identification method comprising the following steps: obtaining a to-be-identified image, and carryingout table area extraction and correction on the to-be-identified image based on semantic segmentation so as to obtain a table area graph; performing table frame line segmentation on the table area graph by using a pre-constructed segmentation model to obtain a table frame graph; performing image connected domain analysis on the table framework diagram to obtain table structure information; and performing text detection and identification on the table area graph to obtain a text detection result, and generating a spreadsheet document corresponding to the to-be-identified picture according to the text detection result and the table structure information. In addition, the invention also relates to a blockchain technology, and the to-be-identified image can be stored in a node of a blockchain.The invention further provides a table structure recognition device, electronic equipment and a computer readable storage medium. The accuracy of table structure identification can be improved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, and in particular, to a method, device, electronic device, and computer-readable storage medium for identifying a table structure. Background technique [0002] Forms are a common document form in daily life. Common form documents include Excel, WPS spreadsheets, and some printed forms of medical invoices and expense lists. In daily work, we often need to import the content of a table document picture into the computer to make an excel electronic document. [0003] Traditional methods such as OCR technology can automatically extract text information from pictures, but the table structure in the table file cannot be restored, and the user needs to manually restore it to the form of a table. The prior art also includes using traditional image processing methods to extract tables, but this method cannot eliminate the interference of characters, seals and colors, the extracte...

AI Technical Summary

Problems solved by technology

[0003] Traditional methods such as OCR technology can automatically extract text information from pictures, but cannot restore the table structure in table files, requiring users to manually restore it to table form

The existing technology also includes extracting forms by traditional image processing, but this method cannot eliminate the interference of words, seals, and colors, the extracted lines are greatly affected by the background, and the accuracy of the recognition results is low

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