Model training, text recognition method and device, electronic equipment, storage medium

Abstract

The embodiment of the present application provides a model training method and device, a text recognition method and device, electronic equipment, and a storage medium, which are applied in the field of artificial intelligence technology. The model training method includes: acquiring a plurality of first sample images containing curved text and The text information of the curved text in the first sample image; respectively input the first sample image into the image rectification model and the text recognition model, and extract the features of the first sample image through the image rectification model to obtain the first image features; The text recognition model performs feature extraction on the first sample image to obtain the second image feature; uses the preset feature loss function to determine the feature loss value according to the first image feature and the second image feature; through the first sample image and the text information in the first sample image, when training the pre-trained text recognition model, the text recognition model is updated based on the feature loss value. This application can improve the accuracy of text recognition.

Description

technical field [0001] The embodiments of the present application relate to the technical field of artificial intelligence, and in particular to a model training, a text recognition method and device, electronic equipment, and a storage medium. Background technique [0002] Natural scene text recognition is the process of recognizing character sequences from images containing text. For Chinese, a Chinese character is a character; for English, a letter is a character. In natural scene text recognition, due to the complex image background, low resolution, diverse fonts, random distribution, etc., and the text is composed of characters with a variable number, it is necessary to recognize sequences of variable length from the image. Therefore, the natural scene text Recognition is a challenging task. [0003] In related technologies, text information in an image can be recognized through CRNN (Convolutional Recurrent Neural Networks, Convolutional Recurrent Neural Networks). S...

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Problems solved by technology

[0004] In view of this, the embodiment of the present application provides a text recognition model training method, a text recognition method, a text recognition model training device, a text recognition device, electronic equipment, and a storage medium, so as to overcome problems in the prior art that contain curved text. When the image is used for text recognition, the defect of low accuracy

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