Text recognition model training method and device, text recognition method and device and electronic equipment
A technology of text recognition and model training, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., can solve the problems of low reliability of text recognition models and achieve the effect of improving reliability
Active Publication Date: 2022-01-21
BEIJING YIZHEN XUESI EDUCATION TECH CO LTD
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Problems solved by technology
[0003] The purpose of the present disclosure is to provide a text recognition model training method, text recognition method, device and electronic equipment to solve the problem of low reliability of the target text recognition model obtained through prior art training
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[0048] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the drawings, it should be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein; It is for a more thorough and complete understanding of the present disclosure. In addition, the drawings and embodiments of the present disclosure are for exemplary purposes only, and are not intended to limit the protection scope of the present disclosure.
[0049] It should also be understood that the various steps described in the method embodiments of the present disclosure may be executed in different orders, and / or executed in parallel. Furthermore, method embodiments may include additional steps and / or omit performing illustrated steps, as the scope of the present disclosure is not limited in this respect.
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The invention relates to a text recognition model training method and device, a text recognition method and device and electronic equipment. The text recognition model training method comprises the following steps: constructing an initial text recognition model comprising a first convolutional neural network, a first recurrent neural network, a second recurrent neural network and a coding and decoding network; inputting a first text image into the first convolutional neural network to output a first feature sequence of the first text image to a first recurrent neural network and a second recurrent neural network, outputting first feature vector label distribution through the first recurrent neural network, and outputting a first prediction result through the second recurrent neural network, and enabling the coding and decoding network to output a first text recognition result of the character sequence in the first text image according to the first feature vector label distribution and the first prediction result, wherein the first text recognition result is used for training an initial text recognition model to obtain a target text recognition model so as to improve the reliability of the target text recognition model.
Description
technical field [0001] The present disclosure relates to the field of natural language processing, and in particular to a text recognition model training method, text recognition method, device and electronic equipment. Background technique [0002] In the field of natural language processing, natural scene text recognition refers to the process of recognizing character sequences from images carrying character sequences. In the prior art, the character sequence recognition method is usually based on the overall analysis strategy, that is, the method of character sequence to character sequence, firstly, the image is encoded, and then the character sequence is decoded to directly obtain the entire character sequence Sequences, and in the prior art, the recognition of character sequences is usually realized by using traditional convolutional cyclic neural networks. Contents of the invention [0003] The purpose of the present disclosure is to provide a text recognition model...
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IPC IPC(8): G06V30/19G06V30/41G06K9/62G06N3/04G06N3/08G06F40/295
CPCG06N3/08G06F40/295G06N3/044G06N3/045G06F18/214
Inventor 刘军秦勇
Owner BEIJING YIZHEN XUESI EDUCATION TECH CO LTD