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Text feature extraction method and device, readable medium and electronic equipment

A feature extraction and text technology, applied in the computer field, can solve the problems of loss of key features, loss of details, unfavorable text recognition and provide reliable data basis, etc.

Pending Publication Date: 2022-05-03
BEIJING YOUZHUJU NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] However, the current feature extraction methods tend to lose too much detail during the feature extraction process, and even lose key features in the process of information transmission, which is not conducive to providing reliable data basis for later text recognition

Method used

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  • Text feature extraction method and device, readable medium and electronic equipment
  • Text feature extraction method and device, readable medium and electronic equipment
  • Text feature extraction method and device, readable medium and electronic equipment

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Embodiment Construction

[0026] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the drawings, it should be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein; A more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for exemplary purposes only, and are not intended to limit the protection scope of the present disclosure.

[0027] It should be understood that the various steps described in the method implementations of the present disclosure may be executed in different sequences and / or in parallel. Additionally, method embodiments may include additional steps and / or omit performing illustrated steps. The scope of the present disclosure is not limited in this regard.

[0028...

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Abstract

The invention relates to a text feature extraction method and device, a readable medium and electronic equipment, and the method comprises the steps: obtaining a target image which comprises a target text; and inputting the target image into a preset feature extraction model, so that the preset feature extraction model outputs the target text feature corresponding to the target text, and by establishing a coupling relationship between the input ends and the output ends of different modules in the target encoder, more information in the original feature can be remarkably reserved, and the accuracy of the target encoder is improved. And meanwhile, the significant features extracted by each module can be fused, so that more comprehensive and more accurate text features can be obtained, and reliable data basis can be provided for later text recognition.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular, to a text feature extraction method, device, readable medium and electronic equipment. Background technique [0002] Feature extraction is a key link in the process of image recognition, text translation or text recognition in the fields of NLP (Natural Language Processing, Natural Language Processing) and CV (Computer Version, Computer Vision). For example, in the process of text recognition, it is usually necessary to The text features in the text image are effectively extracted, and then the text is effectively recognized according to the extracted text features. [0003] However, the current feature extraction methods tend to lose too many details during the feature extraction process, and even lose key features during the information transmission process, which is not conducive to providing reliable data basis for later text recognition. Contents of the invent...

Claims

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Application Information

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IPC IPC(8): G06V20/62G06V30/10G06V10/44G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/048G06N3/045G06F18/241
Inventor 毛晓飞黄灿
Owner BEIJING YOUZHUJU NETWORK TECH CO LTD
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