Text recognition method, device, electronic device and storage medium
A text recognition and text technology, which is applied in the field of image processing, can solve the problems of multiple recognized characters and missing recognized characters in the recognition results, and achieve the effect of reducing multiple recognized characters or missing recognized characters and improving the accuracy rate
Active Publication Date: 2022-04-22
深圳市星桐科技有限公司
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[0003] The present disclosure provides a text recognition method, device, electronic device, and storage medium, so as to at least solve the problem of multiple recognized characters or missing recognized characters in the text recognition in the related art.
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[0028] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for the purpose of A more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes, and are not intended to limit the protection scope of the present disclosure.
[0029] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. Furthermore, method embodiments may include additional steps and / or omit performing the illustrated steps. The scope of the present discl...
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The present disclosure provides a text recognition method, device, electronic device, and storage medium, wherein the text recognition method includes: acquiring a text image; using a first feature extraction sub-network of a text recognition neural network to process the text image to generate a first feature map; Use the second feature extraction subnetwork of the text recognition neural network to extract feature maps from the first feature map in multiple (N) directions to obtain the second feature map; use the output subnetwork of the text recognition neural network to process the second feature map , to generate text recognition output. According to the present disclosure, the feature map of the text image is extracted, and the feature map is further extracted from the feature map in multiple directions, and the text recognition output is generated based on the feature map corresponding to the multiple directions, because the feature map extracted from the multiple directions represents the The positional relationship between characters in the text line on the text image can reduce the number of recognized characters or missed recognized characters, and improve the accuracy of text recognition.
Description
technical field [0001] The present invention relates to the technical field of image processing, and in particular, to a text recognition method, device, electronic device and storage medium. Background technique [0002] Natural scene text recognition is a process of recognizing character sequences in pictures with text. For example, for Chinese, one character may be a Chinese character, and for English, one character may be one letter. It is a very challenging subject. In addition to the complex picture background, lighting changes and other factors, it is also a big difficulty to recognize the complexity of the output space. Since the text is composed of characters with an unfixed number, the natural scene text recognition Sequences of variable length need to be identified from pictures. In the related art, a sequence-to-sequence method is used, which encodes the image first, and then decodes the sequence to obtain the entire string. However, this method has the problem...
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IPC IPC(8): G06F40/279G06N3/04G06N3/08
CPCG06F40/279G06N3/08G06N3/045
Inventor 秦勇
Owner 深圳市星桐科技有限公司