Chart identification method and device, equipment and storage medium

A recognition method and chart technology, applied in the field of image recognition, can solve the problems of low accuracy and low efficiency of identifying charts, and achieve the effect of rich data types, universality and robustness guarantee.

Active Publication Date: 2022-03-08
珠海盈米基金销售有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a chart recognition method, device, equipment and storage medium, which can solve the technical problems of low efficiency and low accuracy in identifying charts from text files in the prior art

Method used

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  • Chart identification method and device, equipment and storage medium
  • Chart identification method and device, equipment and storage medium
  • Chart identification method and device, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] figure 1It is a flow chart of a chart recognition method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of identifying chart data in text files in various formats, and the chart recognition method proposed in this embodiment can be performed by a chart recognition device, which can be implemented by software and / or hardware Implementation, can be configured in computer equipment, for example, computing equipment such as servers, personal computers, mobile terminals, etc., the method specifically includes the following steps:

[0050] S110. Obtain a text file containing chart data.

[0051] In this embodiment, the chart data includes image data composed of tables, pure table data, etc., wherein the image data composed of tables may include line graphs generated based on table data, histograms generated based on table data (such as Column chart, histogram, stacked column chart, etc.), column and bar chart classes genera...

Embodiment 2

[0104] figure 2 It is a structural block diagram of a chart recognition device provided in Embodiment 2 of the present invention, and the device can be realized by software and / or hardware. The device includes: a data acquisition module 201, a format conversion module 202 and a chart recognition module 203, wherein,

[0105] Data obtaining module 201, is used for obtaining the text file that comprises graph data;

[0106] A format conversion module 202, configured to convert the text file into a picture in a preset format;

[0107] The chart recognition module 203 is used to input the picture into the chart positioning detector, and output the positioning result of the chart data in the picture; wherein, the chart positioning detector includes a sample chart by a preset neural network A sample dataset of data for training.

[0108] In one embodiment of the present invention, the preset neural network is a Yolov5s network or a Yolov5l network or a Yolov5m network or a Yolov...

Embodiment 3

[0138] image 3 A schematic structural diagram of a computer device provided in Embodiment 3 of the present invention, such as image 3 As shown, the computer device includes a processor 300, a memory 310, an input device 320 and an output device 330; the number of processors 300 in the computer device may be one or more, image 3 Take a processor 300 as an example; the processor 300, memory 310, input device 320 and output device 330 in the computer equipment can be connected by bus or other methods, image 3 Take connection via bus as an example.

[0139] The memory 310, as a computer-readable storage medium, can be used to store software programs, computer-executable programs and modules, such as program instructions / modules corresponding to the chart recognition method in the embodiment of the present invention (for example, the data acquisition in the chart recognition device module 201, format conversion module 202 and chart recognition module 203). The processor 300 ...

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Abstract

The invention discloses a chart recognition method and device, equipment and a storage medium. The method comprises the steps that a text file containing chart data is acquired; converting the text file into a picture in a preset format; inputting the picture into a chart positioning detector, and outputting a positioning result of the chart data in the picture; wherein the chart positioning detector is obtained by training a preset neural network through a sample data set containing sample chart data. The text file containing the chart data can be a text file of any format type, the text file is converted into the picture, the operation that in the prior art, a normative protocol needs to be used for analyzing the position of a text positioning chart is avoided, the converted picture is directly input into the pre-trained chart positioning detector, and the positioning accuracy of the chart positioning detector is improved. Therefore, the technical problems that the efficiency of identifying the chart from the text file is low and the accuracy of identifying the chart is low in the prior art can be solved.

Description

technical field [0001] Embodiments of the present invention relate to image recognition technology, and in particular to a chart recognition method, device, equipment and storage medium. Background technique [0002] In the field of data analysis, it is the most intuitive to obtain effective information from chart data. The morphological analysis of chart data is often one of the important analysis methods in the fields of finance, scientific research and other industries, and the effectiveness of its data analysis has also been obtained in various industries. Extensive validation. [0003] Because chart data generally exists attached to text files, it is often necessary to extract the charts in each text file separately for analysis using chart data. However, one of the traditional chart extraction methods is based on CPU computing equipment for processing, which requires pre-parsing text files, resulting in high time costs, slow extraction speed, and long time-consuming. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V30/413G06V10/44G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/048G06N3/045G06F18/241
Inventor 吴珂皓薛逢源李博岩
Owner 珠海盈米基金销售有限公司
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