Nameplate recognition method, computer equipment and storage medium

A nameplate, to-be-recognized technology, applied in the field of natural text recognition, can solve problems such as slowing down model recognition speed, unfavorable recognition of text content, and non-intensive text information, so as to improve text recognition rate, improve training speed, and expand the effect of receptive field
CN112508015APending Publication Date: 2021-03-16SHANDONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG UNIV
Publication Date
2021-03-16

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Abstract

The invention relates to a nameplate recognition method, computer equipment and a storage medium, and the method comprises the steps of transmitting a to-be-recognized image to a classification network model, obtaining the direction and angle of the to-be-recognized image, and carrying out the direction correction of the to-be-recognized image; performing text region detection on the nameplate picture after direction correction through a text region detection module to obtain a nameplate picture marked with a text image region; and performing text recognition on the nameplate picture marked with the text image area through a text recognition module. The invention can automatically identify the image direction. According to the invention, the text recognition rate at different shooting angles can be improved. According to the invention, the text recognition part completely uses the convolutional network, the speed is about 1.5 times that of a CRNN text recognition network, and the accuracy is higher.
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Description

technical field

[0001] The invention relates to a nameplate recognition method, computer equipment and a storage medium, and belongs to the technical field of natural text recognition. Background technique

[0002] At present, each engine has its own unique nameplate. During inspection and maintenance, it is necessary to determine the model through the number on the nameplate and engine parameters to facilitate management and targeted maintenance. At present, this work is mainly based on manual identification and entry system. The working environment of the engine is complex, and most of the pictures taken are affected by the environment. It is impossible to take clear and easy-to-recognize photos, and the speed and accuracy of manual identification are greatly affected.

[0003] With the development of the field of artificial intelligence, the automatic recognition of text by machines has a great advantage over manual labor in terms of speed and accuracy. However, the exis...

Claims

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