pavlo-melnyk/offline-HCCR
The official implementation of the "A high-performance CNN method for offline handwritten Chinese character recognition and visualization" paper, Soft Comput 24, 7977–7987 (2020). https://doi.org/10.1007/s00500-019-04083-3
This tool helps automate the identification of individual handwritten Chinese characters from scanned documents or images. You provide an image of a single character, and it tells you which of the 3755 standard GB2312-80 characters it most likely is. This is ideal for researchers, archivists, or data entry specialists who work with historical or contemporary handwritten Chinese texts.
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Use this if you need to quickly and accurately identify isolated handwritten Chinese characters from images.
Not ideal if you need to process entire handwritten Chinese documents with multiple characters in a continuous flow, as it focuses on isolated characters.
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45
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15
Language
Python
License
MIT
Category
Last pushed
Aug 22, 2025
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