#345 · Primary category: Computer Vision
YuzuMarker.FontDetection
✨ 首个CJK(中日韩)字体识别以及样式提取模型 YuzuMarker的字体识别模型与实现 / First-ever CJK (Chinese Japanese Korean) Font Recognition and Style Extractor, side project of YuzuMarker
Project last updated:02/22/25
GitHub Stars
568
Forks
27
Contributors
1
License
MIT
Why we included this project
Recognizing the exact font in an image with Chinese, Japanese, or Korean text is a hard problem, and this project is one of the few open attempts at it. It trains a CNN to identify CJK typefaces and extract their visual style, which helps when you need to reproduce or match a font rather than just read the text. The repo also includes a pipeline for generating synthetic scene-text datasets, mixing real backgrounds with thousands of fonts and multilingual corpora, so you can retrain the model on your own data. A hosted demo on Hugging Face Spaces lets you try it without local setup. If you work with subtitles, scanlations, or archival documents, the pretrained model and data-generation tooling are directly useful.
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