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 the effects of good performance, high recognition accuracy, and easy network training

Pending Publication Date: 2020-03-31
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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Embodiment Construction

[0033] 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.

[0034] 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 steps of obtaining a to-be-recognized text image; carrying out text positioning on the to-be-identified text image; obtaining a corresponding text line area; according to the number of characters in the text line area and a preset size rule, preprocessing the text line area; detecting the preprocessed text line area through the text normalization model to obtain the text line picture in the standard format corresponding to the text line area, so as to enable the input for text recognition to have a unified style, recognizing the text line picture in the standard format by directly adopting the first deep learning neural network, and obtaining the target characterstring. Since only the normalized text line pictures in the standard format need to be paid attention to during text recognition, the features of the normalized text line pictures are more regular and single, the number of features needing to be learned by the network is smaller, network training is easier, the performance is better, and the recognition precision is higher.

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): G06K9/20G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V10/22G06N3/044G06N3/045G06F18/241
Inventor 周康明周枫
Owner 上海眼控科技股份有限公司
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