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Text recognition method and device, computer equipment and storage medium

A text recognition, computer program technology, applied in the field of text recognition, can solve the problem of low recognition accuracy

Pending Publication Date: 2022-07-01
HUNAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although the traditional text recognition scheme based on convolutional neural network can realize text recognition, it also has the defect of low recognition accuracy.

Method used

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  • Text recognition method and device, computer equipment and storage medium
  • Text recognition method and device, computer equipment and storage medium
  • Text recognition method and device, computer equipment and storage medium

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Embodiment Construction

[0061] In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

[0062] The text recognition method provided in the embodiment of the present application can be applied to such as figure 1in the application environment shown. The terminal 102 communicates with the server 104 through the network. The data storage system may store data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network server. The terminal 102 collects the text image, sends the text image to the server 104, and the server 104 obtains the text image; extracts the charac...

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Abstract

The invention relates to a text recognition method and device, computer equipment, a storage medium and a computer program product, and the method comprises the steps: obtaining a text image; extracting character features of the text image, and generating a text image feature sequence; acquiring neighborhood information of the text image feature sequence, and fusing the neighborhood information with the text image feature sequence to obtain a fused text image feature sequence; extracting and combining a multi-time sequence context relationship of the fused text image feature sequence to obtain a target text image feature sequence; and obtaining a text recognition result according to the target text image feature sequence. In the whole process, the domain information and the multi-time-sequence context relationship are acquired based on the image features of the text image, and then the text recognition is performed based on the domain information and the multi-time-sequence context relationship, so that the semantic features are enhanced, the accuracy of the text recognition is remarkably improved, and accurate text recognition can be realized.

Description

technical field [0001] The present application relates to the technical field of text recognition, and in particular, to a text recognition method, apparatus, computer equipment, storage medium and computer program product. Background technique [0002] Text recognition is an important task in the field of artificial intelligence, among which the recognition of handwritten text is the most challenging. While technology is advancing rapidly, handwriting activities are still easier, more efficient, and less expensive. Many important documents still need to be filled out and digitized by hand, including in-office handwritten document processing, mailing address identification, and identification of precious historical manuscripts. Automatic recognition of handwritten Chinese character text images is difficult because of the involvement of multiple writing styles, complex character structures, and a large number of character categories. Therefore, the research on the recogniti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/40G06V10/80G06V10/764G06K9/62G06V30/19
CPCG06F18/241G06F18/253
Inventor 谭怀亮陈淑玉贺再红谭彦杰
Owner HUNAN UNIV
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