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

A form structure and recognition method technology, applied in the direction of neural learning methods, character and pattern recognition, neural architecture, etc., can solve the problems of form structure recognition information gain, affecting the accuracy of form structure recognition, and insufficient accuracy of form structure recognition. achieve high information gain

Pending Publication Date: 2021-08-24
NEW ORIENTAL EDUCATION & TECH GRP CO LTD
View PDF0 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In related technologies, graphs can be used to represent table structures, and table image features and text position features are used to obtain graphs representing table structures based on graph neural networks. However, when using text features to identify table structures, this method is only based on text positions and text characters. String length is used as a feature. The introduction of this feature does not bring s

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Table structure identification method and device, storage medium and electronic equipment
  • Table structure identification method and device, storage medium and electronic equipment
  • Table structure identification method and device, storage medium and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] Specific embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present disclosure, and are not intended to limit the present disclosure.

[0039] Firstly, the application scenario of the present disclosure is introduced. This disclosure is mainly applied to the scene of table structure recognition in character recognition. Generally speaking, table structure recognition is based on the recognition technology of focusing on taking pictures of the table to be recognized and scanning OCR to realize image recognition. Structural recognition of the table, for example, can identify the position information of each cell in the table, the row and column ownership of each cell (each cell belongs to the same row with which cells, and which cells belong to the same column), each unit Information such as th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a table structure recognition method and device, a storage medium and electronic equipment, a table image corresponding to a to-be-recognized table can serve as input of a target detection model, the position feature and the element category of each table element in the to-be-recognized table are obtained, and the element category comprises text lines; character recognition is performed on the character lines through a character recognition model to obtain a text semantic feature of each character line; feature extraction is performed on the table image through the image feature extraction model to obtain an image feature map, and the image feature map is samplied to obtain a target image feature corresponding to each table element; according to the position features, the text semantic features and the target image features, target relation features used for representing the topological relation between every two table elements in the to-be-recognized table are obtained through a preset relation extraction model, a graph adjacency matrix used for representing the table structure of the to-be-identified table is determined by a preset classification model according to the target relation characteristics.

Description

technical field [0001] The present disclosure relates to the field of table structure recognition, and in particular, to a table structure recognition method, device, storage medium and electronic equipment. Background technique [0002] As an important subfield of OCR (Optical Character Recognition, Optical Character Recognition) technology, table structure recognition plays an indispensable role in many text recognition applications. [0003] In related technologies, graphs can be used to represent table structures, and table image features and text position features are used to obtain graphs representing table structures based on graph neural networks. However, when using text features to identify table structures, this method is only based on text positions and text characters. String length is used as a feature. The introduction of this feature does not bring substantial information gain to table structure recognition, which makes the accuracy of table structure recogni...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00G06K9/20G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V30/414G06V10/22G06N3/045G06F18/24147
Inventor 张明
Owner NEW ORIENTAL EDUCATION & TECH GRP CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products