Chinese model train, Chinese image recognition method, device, equipment and medium

Abstract

The invention discloses a Chinese model training, a Chinese image recognition method, a device, equipment and a medium. The Chinese model training method comprises the following steps: obtaining a training handwritten Chinese image; dividing the training handwritten Chinese image into a training set and a test set according to a preset proportion; the training handwritten Chinese images in the training set being sequentially annotated, and the annotated handwritten Chinese images being inputted into the convolution neural network; the time series classification algorithm being used to classifyconvolution neural network into two types, wherein one is long time memory neural network, and the other is short time memory neural network; the network parameters of the long and short time memoryneural network being updated to obtain the original handwritten character recognition model; the original handwritten Chinese character recognition model being tested by training handwritten Chinese images in the test set; when the test accuracy is greater than the preset accuracy, the target handwritten character recognition model being obtained. The Chinese model training method has the advantages of high training efficiency and high recognition accuracy.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a Chinese model training, Chinese image recognition method, device, equipment and medium. Background technique [0002] With the development of the information age, artificial intelligence technology, as a core technology, is increasingly being used to solve specific problems in people's lives. At present, when recognizing handwritten Chinese character images, since the output of the traditional convolutional neural network or cyclic neural network is of fixed length, it cannot satisfy end-to-end handwritten character recognition, and the text in the training image needs to be positioned and segmented in advance. , obtain a single font image, and then train the single font image, the training efficiency is low. Contents of the invention [0003] Based on this, it is necessary to provide a Chinese model training method, device, equipment and medium for solving the low training ...

AI Technical Summary

Problems solved by technology

At present, when recognizing handwritten Chinese character images, since the output of the traditional convolutional neural network or cyclic neural network is of fixed length, it cannot satisfy end-to-end handwritten character recognition, and the text in the training image needs to be positioned and segmented in advance. , obtain a single font image, and then train a single font image, the training efficiency is low

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