captcha-break
A collection of CAPTCHA-breaking implementations using OpenCV, Tesseract OCR, and machine learning algorithms.
What is captcha-break?
captcha-break is a collection of implementations that demonstrate how to break various CAPTCHA systems using computer vision and machine learning techniques. It provides working examples for solving CAPTCHAs from specific websites and platforms using OpenCV for image processing and Tesseract OCR for text recognition. The project serves as a practical reference for understanding automated CAPTCHA-solving approaches.
Security researchers, developers interested in computer vision applications, and students studying automated recognition systems who want to understand CAPTCHA-breaking techniques.
Developers choose this project because it provides concrete, working examples of CAPTCHA-breaking for multiple real-world platforms, with implementations in both C++ and Python using established computer vision libraries.
Overview
captcha break based on opencv2, tesseract-ocr and some machine learning algorithm.
Use Cases
Best For
- Learning CAPTCHA-breaking techniques for educational purposes
- Researching computer vision applications in security contexts
- Understanding image preprocessing with OpenCV
- Experimenting with Tesseract OCR for text recognition
- Studying automated form submission systems
- Analyzing CAPTCHA vulnerabilities in web applications
Not Ideal For
- Teams needing a production-ready CAPTCHA solver for modern websites like those using reCAPTCHA
- Projects requiring high-accuracy, automated solving for commercial or legal compliance purposes
- Developers seeking a maintained library with active updates and broad platform support
Pros & Cons
Pros
Provides specific implementations for CAPTCHAs from platforms like CSDN and Weibo, offering practical insights into breaking actual systems, as shown in the README's categorized examples.
Includes code in both C++ and Python for various CAPTCHA types, allowing flexibility for developers based on their tech stack, as evidenced by the language-specific directories listed.
Leverages OpenCV2 for image processing and Tesseract OCR for text recognition, relying on well-known, reliable libraries for core computer vision tasks.
Serves as a concrete reference for learning CAPTCHA-breaking techniques, with step-by-step examples that demonstrate practical approaches to automated recognition.
Cons
Some implementations target websites that have changed (e.g., Weibo.cn is noted as unavailable), and the project lacks recent updates, reducing its current utility.
Focuses on basic CAPTCHAs and a few Chinese websites, making it unsuitable for breaking modern, complex CAPTCHAs like those with dynamic elements or advanced distortions.
Requires installation of external tools like OpenCV and Tesseract, which can be non-trivial and error-prone, with no provided setup guidance in the README.
Frequently Asked Questions
Related Projects
busterCaptcha solver extension for humans, available for Chrome, Edge and Firefox
captcha_trainer[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.
captcha_break验证码识别
uncaptchaDefeating Google's audio reCaptcha with 85% accuracy.
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