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Character recognition method and device, electronic equipment and storage medium

A text recognition and text area technology, applied in the fields of deep learning, computer vision, and artificial intelligence, can solve problems such as poor effect, affecting model training speed and recognition effect, and cumbersome training process

Pending Publication Date: 2022-05-10
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In related technologies, encoding and decoding methods are usually used for model training for text recognition, but this training method is cumbersome and ineffective, which will affect the actual training speed and recognition effect of the model.

Method used

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  • Character recognition method and device, electronic equipment and storage medium
  • Character recognition method and device, electronic equipment and storage medium
  • Character recognition method and device, electronic equipment and storage medium

Examples

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Embodiment Construction

[0034] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0035] Glossary

[0036] Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR for short), is a simple one-stage model that uses a pretrained Vision Transformer (ViT) to perform scene text recognition. The ViTSTR model has very high accuracy while using a small amount of parameters and calculations, and at the same time, the ViTSTR model is fast due ...

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Abstract

The invention provides a character recognition method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, in particular to the technical field of deep learning and computer vision. According to the specific implementation scheme, a target image is acquired; detecting a character area from the target image; separating the character area from the target image to obtain a character area image; dividing the character area image into a plurality of ordered image blocks; and predicting the plurality of ordered images in parallel by adopting a self-attention mechanism to obtain the text content in the target image.

Description

technical field [0001] The present disclosure relates to the field of artificial intelligence technology, in particular to the field of deep learning and computer vision, which can be applied to image processing and optical character recognition (Optical Character Recognition) and other scenarios, and specifically relates to a character recognition method, device, electronic equipment and storage medium. Background technique [0002] In related technologies, encoding and decoding methods are usually used for model training for character recognition, but this training method is cumbersome and ineffective, which will affect the actual training speed and recognition effect of the model. Contents of the invention [0003] The present disclosure provides a method, device, equipment and storage medium for character recognition. [0004] According to one aspect of the present disclosure, a text recognition method is provided, including: acquiring a target image; detecting a text ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/62G06V30/146G06V30/19G06K9/62
CPCG06F18/214
Inventor 陈科桦倪子涵孙逸鹏姚锟
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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