Font style transfer and transformation method based on manchu character picture

A font style and font technology, applied in the field of image processing, can solve the problems of high time cost and limited number of people, and achieve the effect of saving time and labor cost

Active Publication Date: 2019-01-11
DALIAN NATIONALITIES UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0002] Most of the existing styles of Manchu fonts are transformed by inputting Manchu characters into text editing software according to Roman transliteration, and then using various existing Manchu fonts to transform them.

Method used

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  • Font style transfer and transformation method based on manchu character picture
  • Font style transfer and transformation method based on manchu character picture
  • Font style transfer and transformation method based on manchu character picture

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Embodiment Construction

[0044] Below in conjunction with embodiment and accompanying drawing, the present invention is described in detail

[0045] The present invention provides a method for image-based Manchu character style migration, and the specific process for realizing the method is divided into the following steps:

[0046] Step 1. Construct the Manchu font style transformation data set. (Manchu text training data set, Manchu font style transfer data set)

[0047] Step 2. Construct the conditional generative adversarial network model required to realize the transfer of Manchu font style.

[0048] Step 3. Perform step-by-step training on the Manchu font style transfer model constructed in step 2. First, use the Manchu text training data set to train the model to complete the Manchu character learning, and then use the Manchu font style transfer training data set to train the model. Train again to complete the transfer learning of Manchu font style.

[0049] Step 4. Call the model generated ...

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Abstract

A font style transfer and transformation method based on Manchu character picture belongs to the field of image processing, which solves the problems of greatly reducing the time and labor cost spentin processing a large number of Manchu character images. The main points are that the manchu font style transfer model is trained step by step: the manchu character training data set is used for training the model to realize the manchu character learning; a mandarin font style migration data set is use to train that model again to realize the mandarin font style migration learning, and the effectis to save a large amount of time and labor cost.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to a method for processing Manchu font styles. Background technique [0002] Most of the existing styles of Manchu fonts are transformed by inputting Manchu characters into text editing software according to Roman transliteration, and then using various existing Manchu fonts to transform them. It takes a high time cost to read and write, and the operator needs to have a certain ability to identify Manchu, and Manchu, as an endangered language, has a very limited number of people who can read, write, and identify Manchu. Therefore, training a highly versatile generative adversarial network model to transfer the font style of Manchu characters from the image level can save a lot of time and labor costs. Contents of the invention [0003] The present invention mainly implements a generative confrontation network model capable of learning the transfer process between Manchu font style...

Claims

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Application Information

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IPC IPC(8): G06K9/68
CPCG06V30/245G06V30/287
Inventor 郑蕊蕊李敏毕佳晶贺建军许爽吴宝春
Owner DALIAN NATIONALITIES UNIVERSITY
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