Chinese text recognition method in natural scene images based on two-dimensional recurrent network

A technology for natural scene image and text recognition, applied in character recognition, neural learning methods, character and pattern recognition, etc.

Active Publication Date: 2021-02-19
SOUTH CHINA UNIV OF TECH
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  • Claims
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Problems solved by technology

However, this kind of method still has certain defects. For example, the distortion of the text in the image, such as rotation and transmission, requires a large number of sample training to enhance the recognition ability of the network. When recognizing a one-dimensional recursive network, it is necessary to first convert the two-dimensional feature map into a one-dimensional image. dimensional feature sequence

Method used

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  • Chinese text recognition method in natural scene images based on two-dimensional recurrent network
  • Chinese text recognition method in natural scene images based on two-dimensional recurrent network
  • Chinese text recognition method in natural scene images based on two-dimensional recurrent network

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Embodiment

[0073] This embodiment discloses a method for recognizing Chinese text in natural scene images based on a two-dimensional recursive network, such as figure 1 As shown, the steps are as follows:

[0074] Step S1, obtain a plurality of natural scene image samples including Chinese characters to form a training sample set, wherein the training sample set includes all commonly used Chinese characters in the commonly used Chinese character character set; and set a label for each commonly used Chinese character; commonly used in this embodiment The size C of the Chinese character set is 3756, and the common Chinese character set includes 3755 first-level common Chinese characters and 1 empty character.

[0075] At the same time, a neural network composed of a deep convolutional network, a two-dimensional recursive network for encoding, a two-dimensional recurrent network for decoding, and a CTC model is sequentially connected. The input of the neural network is the input of the deep...

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Abstract

The present invention discloses a Chinese text recognition method in the natural scene image based on the two -dimensional recursive network. The first training sample set is obtained.Training the neural network connected to the connection; in the depth convolution network after training the test sample input training, get the feature diagram of the test sample; then enter the feature diagram of the test sample intoTest the coding feature diagram of the test sample; then enter the decoding of the coding feature diagram of the test sample in the two -dimensional recursive network to obtain the probability result of each commonly used Chinese character in each frame image of the test sample;The overall Chinese text in the test sample.The method of this invention makes full use of the spatial time information of text images and the context information, which can avoid the problem of pre -segmentation of text images and improve the accuracy of identification.

Description

technical field [0001] The invention belongs to the field of image text analysis and recognition, in particular to a method for recognizing Chinese text in natural scene images based on a two-dimensional recursive network. Background technique [0002] Most of the human information is obtained through the visual system. The scene image obtained through the visual system not only contains rich visual information such as color, pattern, shape, position, texture, but also rich text information. The description of information by text has the characteristics of accuracy and validity, and text has very useful value in various computer vision applications. For example, in terms of image search, recognizing the text in the image will help us better classify and match the image; in terms of unmanned driving, recognizing the text information of traffic signs and other signs from natural scenes can assist driving. In today's rapid development of artificial intelligence, text recogniti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V30/10G06N3/045G06F18/214
Inventor 高学刘衍平
Owner SOUTH CHINA UNIV OF TECH
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