Text recognition method and device, computer equipment and storage medium

A text recognition and text technology, applied in the field of image recognition, can solve problems such as unsuitable recognition of complex styles of text and pictures, and achieve better performance, simple network structure, and high recognition accuracy

Pending Publication Date: 2020-04-07
上海眼控科技股份有限公司
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Problems solved by technology

[0004] Based on this, it is necessary to provide a text recognition method, device, computer equipment and storage medium capable of recognizing comple

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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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[0034] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0035] Since traditional OCR tasks usually need to recognize character texts that appear in different fonts, sizes or styles under various complex backgrounds, and the traditional BLSTM+CTC-based network structure is complex, it usually extracts features through convolutional layers to obtain input The feature map of the feature map; then the sequence of the feature map at the width position is regarded as a time series, and the character information is extracted through the BLSTM network; finally, the probability of whether each position is the background or a certain char...

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Abstract

The invention relates to a text recognition method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining a normalized text line picture in a standardformat corresponding to a text line region of a to-be-identified text image by adopting a trained text normalization model; cutting the text line picture in the standard format in the width directionaccording to the preset length; obtaining a standard picture and a corresponding position of each character in the text line picture in the standard format. Therefore, when the OCR task is executed,only simple character classification needs to be carried out without depending on a BLSTM + CTC framework, hardware resource consumption is lower, performance is better, the network structure is simpler, and higher recognition precision is achieved.

Description

technical field [0001] The present application relates to the technical field of image recognition, in particular to a text recognition method, device, computer equipment and storage medium. Background technique [0002] With the development of artificial intelligence technology, more and more tedious work is replaced by machines. As an important branch of computer vision, the OCR (Optical Character Recognition) task is widely used in many fields such as bill recognition and automatic text entry. However, usually the original text of this type of task may appear in various complex backgrounds, such as may appear in different styles such as various fonts and sizes. Therefore, it is necessary to use computer vision-related methods to identify the corresponding characters in the text strings located from the pictures for downstream tasks. [0003] As an important branch of artificial intelligence, deep learning has achieved great success in various fields. At present, there ...

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Application Information

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IPC IPC(8): G06K9/20G06K9/62
CPCG06V10/22G06F18/241
Inventor 周康明周枫
Owner 上海眼控科技股份有限公司
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