Document paragraph recognition method and device and electronic equipment
A paragraph and document technology, applied in the computer field, can solve problems such as insufficient accuracy of results, inconsistent results of manual recognition, position deviation, etc., so that the recognition results are close to the results of manual recognition, and the results of recognition and manual recognition are more accurate. The effect of improving accuracy
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[0088] As an implementation manner of the embodiment of the present invention, the device further includes:
[0089] The training unit includes:
[0090] The sample acquisition module is used to acquire multiple training samples; each training sample includes the document image and the real coordinates of the rectangular area where the paragraph in the document image is located.
[0091] The input module is used to input a preset number of document images into a paragraph recognition model to be trained; the recognition model to be trained is a preset initial convolutional neural network model.
[0092] The calculation module is used to use the paragraph recognition model to be trained to calculate the coordinates of the rectangular area where the paragraph is located in each document image.
[0093] The loss value calculation module is used to calculate the loss value by using the calculated coordinates of the rectangular area where the paragraph is located in each input document image...
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