A Process Image Recognition Method

A technology of image recognition and flow chart, applied in the field of image recognition, can solve the problem of low efficiency of process image recognition

Active Publication Date: 2021-07-06
SHAANXI UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the fact that the flow charts in the existing documents are stuck and broken, the efficiency of process image recognition is not high. Therefore, a new process image recognition method is needed to solve the above problems.

Method used

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Embodiment Construction

[0044] In order to make the object, technical scheme and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiment, accompanying drawing. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0045] Such as figure 1 As shown, the steps of the identification method of the present invention include:

[0046] S1 establishes a corner-based flow chart structure model (CBSM), defines the corner combination rules and corner combination constraints describing the flow chart structural elements;

[0047] S2 extracts the flowchart structure;

[0048] S3 performs corner detection and screening on the flowchart structure;

[0049] S4 obtains ...

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Abstract

The present invention proposes a process image recognition method, the technical features of which are: firstly establish a corner-based flowchart structure model (CBSM), formally define various corner types and combination rules used to describe the structural elements of the flowchart and constraints; then perform text-image segmentation to extract the flow chart structure, detect the corner points of the flow chart structure and extract the grid features and peripheral features of the corner neighborhood, and use the SVM classifier to realize the corner classification; identify the flow chart structure based on CBSM; Finally, the process image recognition results are output in text form. The invention recognizes the structural elements of the flow chart based on the corner point feature, can solve the problems of text-graphic adhesion and broken edges that cannot be handled well by the existing process image recognition technology, and provides a new method for process image recognition.

Description

technical field [0001] The invention belongs to the technical field of image recognition, in particular to a process image recognition method. Background technique [0002] Existing computer information retrieval systems mainly use retrieval technology based on text matching, but documents in the fields of chemical industry, pharmaceuticals, machinery, and information technology often contain a large number of process images, which contain rich information and are crucial for retrieval and novelty retrieval. important. [0003] A flow chart can intuitively describe the specific steps of a work process and has important semantics. The process image recognition efficiency is not high due to the flow charts in the existing documents, such as text and image sticking and broken edges. Therefore, a new process image recognition method is needed to solve the above problems. Contents of the invention [0004] The object of the present invention is to provide a process image reco...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V30/422G06V10/44G06F18/2411G06F18/214
Inventor 孙连山侯涛张沙沙
Owner SHAANXI UNIV OF SCI & TECH
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