Chinese character font style migration method based on deep learning
A font style and deep learning technology, applied in the field of image processing, can solve the problems of insufficient extraction of font details, deformation of font structure, loss of details, etc., to achieve the effect of excellent detail fidelity and structural integrity, and enhanced stability.
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[0035] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0036] The present invention provides a Chinese character font style transfer method based on deep learning, such as Figure 1-2 As shown, it specifically includes the following steps:
[0037]Step 1, obtain the Chinese character image of the specified input character set;
[0038] Step 1 is specifically implemented according to the following steps:
[0039] Download the standard TrueType font library from the font library. The text font library is a txt file composed of 775 Chinese characters, basically covering all the strokes and structures of Chinese characters in GB2312; among them, the content of the TrueType font library includes source font image x and real images of five target fonts y (Jingyu, Heiti, Benmo, Mala, Zeibai) each has 775 Chinese characters.
[0040] Step 2. By using the Python Image Library (PIL) tool, use the Image ...
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