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Repair method of missing ancient Chinese characters based on conditional confrontation network

A repair method, a technology of Chinese characters, applied in the field of image processing, can solve problems such as the difficulty of repairing damaged fonts, achieve the effect of getting rid of manual repair, repairing fonts, and reducing costs

Active Publication Date: 2021-01-15
陕西集大成得智慧教育科技有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for repairing damaged ancient Chinese characters based on conditional confrontation network, which solves the problem of difficult repair of damaged fonts in a large number of damaged ancient books existing in the prior art

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  • Repair method of missing ancient Chinese characters based on conditional confrontation network
  • Repair method of missing ancient Chinese characters based on conditional confrontation network
  • Repair method of missing ancient Chinese characters based on conditional confrontation network

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Embodiment Construction

[0046]The present invention will be described in detail below with reference to the drawings and specific embodiments.

[0047]The method of the present invention for repairing defective Chinese characters in ancient books based on a conditional confrontation network is specifically implemented according to the following steps:

[0048]Step 1. Create n folders, corresponding to n different handwritten Chinese character images, respectively, put m Chinese character images in each folder, and finally get n*m pictures as a handwritten Chinese character data set;

[0049]Step 2. Train the handwritten Chinese character image data obtained in step 1, and iteratively update the discriminator neural network weight and generator neural network weight through the gradient back propagation algorithm, such asfigure 1 Shown is the framework process diagram of training, which is implemented according to the following steps:

[0050]Step 2.1. Randomly take a k-dimensional vector z from the Gaussian distributi...

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Abstract

The invention discloses a defective ancient book Chinese character restoration method based on a conditional adversarial network, and the method comprises the steps: building n folders which respectively correspond to n different handwritten Chinese character images, respectively placing m Chinese character images in each folder, and finally obtaining n * m images as a handwritten Chinese character data set; training the obtained handwritten Chinese character image data, and iteratively updating a discriminator neural network weight and a generator neural network weight through a gradient backpropagation algorithm; and finally, substituting a to-be-processed defective handwritten Chinese character image data sample into the updated discriminator and generator for iteration to obtain a restored handwritten Chinese character image. The problem that in the prior art, damaged characters in a large number of damaged ancient books and literatures are difficult to repair is solved.

Description

Technical field[0001]The invention belongs to the technical field of image processing, and specifically relates to a method for repairing defective Chinese characters in ancient books based on a conditional confrontation network.Background technique[0002]As a carrier of information, image has a pivotal significance in cultural heritage. At present, many ancient documents have been damaged to varying degrees due to the influence of different temperatures, humidity and climate. The most important part is the Chinese characters in the documents, which carry the excellent Chinese civilization. It is a pity that some Chinese characters are severely damaged. Although they can be repaired by manpower based on context, there are many ancient books and documents, and the cost and time of manpower repair alone are incalculable. Therefore, it is very necessary to use computer technology to replace manpower to repair Chinese character images.[0003]In view of the above various reasons, how to ac...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T5/50
CPCG06T5/005G06T5/50G06T2207/10004G06T2207/20081G06T2207/20084
Inventor 张九龙郭铭涛屈晓娥
Owner 陕西集大成得智慧教育科技有限公司
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