996refuse/zheye
A Chinese captcha recognition program that identifies inverted Chinese characters in Zhihu login captchas using CNNs and Gaussian mixture models.
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This project uses convolutional neural networks combined with Gaussian mixture models to recognize and locate upside-down Chinese characters in Zhihu captcha images. The model is trained on captcha samples and can evaluate new images to identify character positions. It requires PyTorch, scikit-learn, and standard image processing libraries.
Frequently asked
- What is 996refuse/zheye?
- A Chinese captcha recognition program that identifies inverted Chinese characters in Zhihu login captchas using CNNs and Gaussian mixture models.
- Is zheye open source?
- Yes — 996refuse/zheye is an open-source project tracked on heatdrop.
- What language is zheye written in?
- 996refuse/zheye is primarily written in Python.
- How popular is zheye?
- 996refuse/zheye has 793 stars on GitHub.
- Where can I find zheye?
- 996refuse/zheye is on GitHub at https://github.com/996refuse/zheye.