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Method for automatically generating Chinese character library based on font manifold

A technology of automatic generation and font library, applied in the field of computer graphics and artificial intelligence, it can solve the problem that automatic font generation cannot be realized, and achieve the effect of high interpretability of style characteristics.

Active Publication Date: 2018-07-20
PEKING UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the existing font generation methods using artificial intelligence technology still need to manually design / write a large number of Chinese characters, and cannot automatically generate fonts

Method used

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  • Method for automatically generating Chinese character library based on font manifold
  • Method for automatically generating Chinese character library based on font manifold
  • Method for automatically generating Chinese character library based on font manifold

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Embodiment Construction

[0032] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. It should be understood that the described examples are only part of the embodiments of the present invention, not all of them. example. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0033] The present invention provides a method for automatically generating fonts. Aiming at the existing Chinese character fonts, the feature vectors of the fonts are extracted to establish a style manifold; the font rendering network is retrained to realize the mapping from feature vectors to Chinese character images; through the manifold space Shift the points or interpolate between two points to obtain a new style feature vector, pu...

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Abstract

The invention discloses a method for automatically generating a Chinese character library based on manifold learning and a deep neural network. Based on an existing Chinese character library, style feature vectors and glyph feature vectors of a font library are extracted, and the style manifold of each character is established; a font rendering network is trained to achieve the mapping from the feature vectors into Chinese character images; new feature vectors in the manifold space are obtained, and the trained font rendering network is put in to obtain a new style of Chinese character library. According to the method, manual writing of Chinese characters is not needed, and manual intervention is not needed; the creation of manifold space is based on feature vectors of existing fonts, so that there is no great deviation of the new feature vectors, the original glyphs of the Chinese characters are guaranteed, and the interpretability of style features is also higher.

Description

technical field [0001] The invention belongs to the fields of computer graphics and artificial intelligence, and relates to a method for generating a font library, in particular to a method for automatically generating a Chinese font library without manual intervention. Background technique [0002] With the rapid development of smart terminals and mobile Internet, people will come into contact with various fonts in their daily life. Most of these fonts are manually designed and produced word by word by professional font design teams, which consumes a lot of manpower and material resources and is expensive. With the rise of artificial intelligence, a large number of repetitive mechanical work in the production of fonts can be completed with the help of computers, thereby greatly saving the cost of font production. [0003] At present, the domestic font design and production technology is not advanced enough. Most of the existing Chinese font production methods rely on manua...

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Application Information

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IPC IPC(8): G06F17/21G06K9/62G06K9/68G06N3/00G06N3/04G06N3/08
CPCG06N3/006G06N3/08G06F40/109G06V30/245G06N3/045G06F18/213
Inventor 连宙辉郭远唐英敏肖建国
Owner PEKING UNIV