lizhaoliu-Lec/CCSE
Instance Segmentation for Chinese Character Stroke Extraction, Datasets and Benchmarks.
This project helps researchers and developers analyze Chinese characters by breaking them down into individual strokes. It takes images of handwritten or Kaiti style Chinese characters as input and outputs precise segmentations of each stroke, akin to outlining them individually. This tool is designed for those working on optical character recognition (OCR), digital calligraphy, or educational software for Chinese language learning.
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Use this if you need to programmatically identify and isolate individual strokes within digital images of Chinese characters for research or application development.
Not ideal if you are looking for an off-the-shelf application for general Chinese character recognition or translation, as this is a foundational tool for stroke analysis.
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92
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14
Language
Python
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Category
Last pushed
Nov 15, 2022
Commits (30d)
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