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Training method and device of character recognition model and storage medium

A text recognition and training method technology, applied in the field of text recognition, can solve problems such as the performance degradation of text recognition models

Pending Publication Date: 2021-01-08
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, when there is a difference in the distribution of real samples and training samples, the text recognition model will have a significant performance drop on the real sample test set.

Method used

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  • Training method and device of character recognition model and storage medium
  • Training method and device of character recognition model and storage medium
  • Training method and device of character recognition model and storage medium

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Embodiment Construction

[0086] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.

[0087] The application scenarios described in the embodiments of the present disclosure are to illustrate the technical solutions of the embodiments of the present disclosure more clearly, and do not constitute limitations on the technical solutions provided by the embodiments of the present disclosure. It appears that the technical solutions provided by the embodiments of the present disclosure are also applicable to similar technical problems.

[0088] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or seque...

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Abstract

The invention relates to a training method and device of a character recognition model and a storage medium, relates to the technical field of character recognition, and is used for improving the recognition performance of the character recognition model. The method comprises the steps of obtaining a first sample set used for training a character recognition model, wherein samples in the first sample set comprise real text line images; generating a corpus text containing the characters of which the occurrence frequency is lower than a first threshold value according to the characters of whichthe occurrence frequency is lower than the first threshold value in the first sample set, and generating a text line image containing the corpus text to obtain a second sample set; and training the character recognition model by using the first sample set and the second sample set.

Description

technical field [0001] The present disclosure relates to the technical field of character recognition, and in particular to a training method, device and storage medium of a character recognition model. Background technique [0002] With the popularity of deep learning technology, text recognition methods based on deep learning are increasingly used because of their excellent recognition performance. One of the mainstream text recognition algorithm frameworks is CRNN+CTC, which normalizes the text line image to a specific size as the input of the text recognition model, such as a fixed height of 32 height units (such as 32 points), through volume The feature of the image is extracted by the product neural network, and the feature is input to the encoder for encoding to obtain a time series feature sequence, which is then input to the CTC decoder for decoding, and finally the recognition result of the text line image is obtained. Wherein, the encoder may be an encoder based ...

Claims

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Application Information

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IPC IPC(8): G06N3/08G06N3/04G06K9/62
CPCG06N3/08G06N3/044G06N3/045G06F18/214
Inventor 汤野骏
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD