CAPTCHA-breaking
A Python-based CAPTCHA breaking solution using Keras and OpenCV, developed for a data science competition.
What is CAPTCHA-breaking?
CAPTCHA-breaking is a collection of Python scripts and deep learning models designed to automatically recognize and solve different types of CAPTCHA images. It was created for the DataCastle CAPTCHA Breaking Challenge and demonstrates how convolutional neural networks can be applied to bypass visual verification systems.
Data scientists, machine learning practitioners, and researchers interested in computer vision challenges, particularly those working on automated recognition systems or studying CAPTCHA vulnerabilities.
It provides a tested, competition-proven implementation with documented accuracy rates across multiple CAPTCHA types, using established deep learning frameworks for reliable performance.
Overview
This project provides a set of scripts and models designed to break various types of CAPTCHA challenges. It was developed for the CAPTCHA Breaking Challenge hosted by DataCastle, demonstrating the application of deep learning to automated image recognition tasks.
Key Features
- Multi-Type CAPTCHA Support — Includes separate models for six different CAPTCHA types with varying recognition accuracies.
- Deep Learning Pipeline — Utilizes Keras with Theano backend for building and training neural networks.
- Image Processing Integration — Employs OpenCV for handling and preprocessing CAPTCHA images.
- Cross-Platform Compatibility — Scripts are tested to work on both Ubuntu and Windows operating systems.
Philosophy
The project focuses on providing a practical, competition-tested approach to CAPTCHA recognition, prioritizing straightforward implementation and reproducible results across different CAPTCHA designs.
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