Character recognition method and device, computer equipment and storage medium

A text recognition and character technology, applied in the field of computer vision, can solve the problem that the text recognition framework is not suitable for curved text recognition, and achieve excellent performance

Active Publication Date: 2019-11-08
BEIJING KUANGSHI TECH
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Problems solved by technology

[0004] However, this text recognition framework ...

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

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[0055] 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.

[0056] The text recognition method provided by this application can be applied to such asfigure 1 shown in the application environment. Wherein, the processor 100 and the image acquisition device 200 are connected to each other. The image acquisition device 200 is used to acquire images to be processed, and the processor 100 is used to process the images acquired by the image acquisition device 200 .

[0057] Optionally, the processor 100 and the image acquisition device 200 may be smart terminals that integrate image acquisition and image processing, such as notebook com...

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Abstract

The invention relates to a character recognition method and device, computer equipment and a storage medium. The character recognition method includes the steps: firstly, a feature extraction neural network performs feature extraction to obtain a shared feature map, and then a character center sequence table is obtained according to the shared feature map and a character center detection neural network, and features are extracted based on the character center sequence table to obtain a feature sequence, and finally character recognition is performed based on the obtained feature sequence. According to the character recognition method, feature sampling is carried out based on a text center point, so that features of irrelevant positions can be effectively filtered; and meanwhile, the character recognition method performs feature collection based on the character central point sequence table and maintains the overall vision of features. The method successfully combines the idea of two-dimensional spatial distribution with the idea of sequence learning, and is excellent in recognition of irregular characters of the image.

Description

technical field [0001] The present application relates to the technical field of computer vision, in particular to a text method, device, computer equipment and storage medium. Background technique [0002] Scene text recognition has become an increasingly popular research topic in computer vision over the past few decades. Scenarios such as instant translation, robot navigation, industrial automation, and autonomous driving all require the application of scene text recognition technology. [0003] Traditional text recognition follows an encoder-decoder framework where an image is decomposed into a sequence of pixel frames starting from the left side of the image and going to the right side. The framework can be generalized as a Convolutional Recurrent Neural Network (CRNN). The convolutional layer of CRNN encodes images into deep features. The pooling layer of CRNN processes features into C-dimensional sequential features with w time steps. The RNN of CRNN Network or LSTM...

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/62
CPCG06V30/40G06V20/63G06V30/10G06F18/214
Inventor 龙上邦关玉烁姚聪
Owner BEIJING KUANGSHI TECH
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