Deep stacking network-based structure information guided Chinese character library generation method

A font library and network technology, applied in neural learning methods, biological neural network models, editing/combining graphics or text, etc., can solve problems such as wrong Chinese character structure, unreasonable strokes, uncontrollability, etc.
CN109635883AActive Publication Date: 2019-04-16PEKING UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
PEKING UNIV
Publication Date
2019-04-16

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Abstract

The invention discloses an automatic generation method of a handwritten Chinese character library, which comprises the following steps of: predicting a Chinese character skeleton flow field by adopting a two-stage convolutional neural network G through a writing track synthesis stage and a font style rendering stage on the basis of a deep stacking network and structure information guidance; firstly, the writing style is learned from a small amount of handwritten Chinese characters written by a user, so that the writing track of unwritten Chinese characters is synthesized; The handwriting styleof the target is rendered; and generating a complete GB2312 Chinese handwriting word stock file with the writing style of the user. The method can ensure the structural accuracy and style consistencyof the generated fonts at the same time, is simple, efficient, low in cost and high in quality, and can meet the actual application requirements of ordinary people for quickly making personalized handwriting fonts.
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Description

technical field

[0001] The invention belongs to the technical fields of computer graphics and image processing, artificial intelligence and deep learning, and relates to Chinese word processing technology, in particular to a method for automatically generating a handwritten Chinese character library guided by structural information based on a deep stacking network. Based on empirical knowledge and deep neural network, it learns writing style and generates a complete Chinese character library. Background technique

[0002] Personalized fonts make information dissemination more vivid and intuitive. Compared with standardized printing fonts, more and more people hope to use personalized fonts, especially handwriting fonts, in electronic mobile devices to communicate and communicate. On the one hand, personalized fonts can render text into a unique writing style, expressing the writer's style and feelings more flexibly; on the other hand, the visual effects of personalized font...

Claims

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