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Table recognition method and device and electronic equipment

A recognition method and table technology, applied in the fields of artificial intelligence, deep learning, and computer vision, can solve problems such as high time and space costs, weak contrast, complex image processing algorithms, etc., to avoid high time and space costs, reduce time costs and space Cost, effect of improving accuracy

Pending Publication Date: 2022-05-17
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the prior art, complex image processing procedures are usually used to identify tables in images. On the one hand, the image processing algorithms used are complex, and the cost of time and space is high. Tables with uneven or blurred backgrounds cannot be recognized accurately, reducing the accuracy of table recognition in images

Method used

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  • Table recognition method and device and electronic equipment
  • Table recognition method and device and electronic equipment
  • Table recognition method and device and electronic equipment

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Experimental program
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Embodiment 1

[0039]OCR has received extensive attention and applications in various industries such as education, finance, medical care, transportation, and insurance. With the improvement of office electronization, documents originally stored in paper form are gradually passed through electronic means such as scanners. Save as an image instead. In order to be able to query or retrieve images of specified records, it is necessary to index images and image content data. In order to establish an index, the scanned images are generally classified by OCR (Optical Character Recognition, Optical Character Recognition) technology, and then recognized to obtain its content.

[0040] When the existing OCR technology is used for form recognition, the main technical means used when performing binary processing on images generally include: global threshold method, local threshold method, region growth method, waterline algorithm, minimum description length method , methods based on Markov random fiel...

Embodiment 2

[0089] According to an embodiment of the present disclosure, an embodiment of a form recognition device is provided, wherein, Figure 6 is a schematic diagram of a form recognition device according to Embodiment 2 of the present disclosure, such as Figure 6 As shown, the device includes:

[0090] An acquisition module 602, configured to acquire an image to be identified, wherein the content displayed in the image to be identified includes: a form to be identified;

[0091] The first processing module 604 is configured to perform segmentation and merging processing on the to-be-recognized form in the to-be-recognized image to obtain a merging result, and to perform optical character recognition processing on the to-be-recognized form to obtain a first recognition result;

[0092] The second processing module 606 is configured to perform matching processing on the combined result and the first recognition result to obtain a second recognition result.

[0093] It should be not...

Embodiment 3

[0102] According to the embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0103] Figure 7 A schematic block diagram of an example electronic device 700 that may be used to implement embodiments of the present disclosure is shown. Electronic device is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. Electronic devices may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are by way of example only, and are not intended to limit implementations of the disclosure described and / or claimed herein.

[0104] Such as Figur...

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PUM

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Abstract

The invention provides a table recognition method and device and electronic equipment, relates to the technical field of artificial intelligence, in particular to the technical field of deep learning and computer vision, and can be applied to an optical character recognition scene. According to the specific implementation scheme, a to-be-recognized image is obtained, and the content displayed in the to-be-recognized image comprises a to-be-recognized table; segmenting and merging a to-be-recognized table in the to-be-recognized image to obtain a merging result, and performing optical character recognition processing on the to-be-recognized table to obtain a first recognition result; and carrying out matching processing on the combination result and the first identification result to obtain a second identification result. The technical problem that in the prior art, table recognition accuracy in an image is low is at least solved.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, in particular to the technical field of deep learning and computer vision, which can be applied to optical character recognition scenarios, and specifically relates to a form recognition method, device and electronic equipment. Background technique [0002] With the improvement of the degree of office electronization, documents originally stored in paper form are gradually converted to image form through electronic means such as scanners. In the prior art, complex image processing procedures are usually used to identify tables in images. On the one hand, the image processing algorithms used are complex, and the cost of time and space is high. Forms with uneven or blurred backgrounds cannot be recognized accurately, reducing the accuracy of recognizing forms in the image. Contents of the invention [0003] The disclosure provides a form recognition method, device and el...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V30/412G06V30/148G06V30/18G06V30/19G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/24
Inventor 庾悦晨章成全姚锟
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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