xiaofengShi/CHINESE-OCR

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2955 stars · 941 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An end-to-end Chinese scene-text OCR pipeline combining CTPN for text detection, a VGG16-based orientation classifier, and CRNN with CTC for variable-length recognition, implemented in TensorFlow/Keras and PyTorch. It is a legacy research project kept for reproduction and reference, with no active feature development and no explicit open-source license.

Use cases

• recognize Chinese text in natural scene images
• detect text regions in photos with CTPN
• identify text orientation 0/90/180/270 degrees
• train a CRNN CTC model for variable-length OCR
• reproduce classic scene-text detection and recognition research

When to choose

• you need a reference implementation of CTPN + CRNN + CTC for Chinese OCR
• you are studying or reproducing 2016-2019 era scene-text recognition methods
• you need trainable Keras or PyTorch CRNN code for research

When to avoid

• you need a maintained, production-ready OCR system
• you require a clear open-source license for commercial use
• you cannot pin old dependencies like Python 3.6 and TensorFlow 1.x
• you need vertical or rotated text detection out of the box

Facets

library · maturity maintenance

ocr computer-vision deep-learning image-processing computer-vision image-processing deep-learning python chinese-ocr ctpn crnn ctc scene-text-recognition tensorflow keras pytorch legacy-project text-detection natural-language-processing linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="xiaofengShi/CHINESE-OCR")