JasonLiTW/simple-railway-captcha-solver#english-version
A CNN-based captcha solver for Taiwan Railway booking website with a training set generator that mimics captcha style and uses data augmentation.
What is JasonLiTW/simple-railway-captcha-solver#english-version?
simple-railway-captcha-solver is a deep learning project that uses convolutional neural networks to automatically recognize and solve captchas from the Taiwan Railway booking website. It solves the problem of limited labeled training data by generating synthetic captchas that mimic the real ones and by augmenting a small set of manually labeled images. The project demonstrates a complete pipeline from data generation to model training and real-world testing.
Students, researchers, and developers interested in computer vision, deep learning, and practical applications of CNNs for solving captcha systems. It's particularly relevant for those studying data generation techniques and model deployment in constrained data scenarios.
It provides a fully documented, open-source implementation that tackles the real-world challenge of captcha solving with limited labeled data, offering insights into synthetic data generation, multi-output CNN architectures, and practical web automation integration.
Overview
實作基於CNN的台鐵訂票驗證碼辨識以及透過模仿及資料增強的訓練集產生器 (Simple captcha solver based on CNN and a training set generator by imitating the style of captcha and data augmentation)
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