Compact MATLAB Simulation for CAPTCHA Recognition

This is a compact MATLAB simulation code for CAPTCHA recognition that includes several sample images. Through using this code, you can learn how to implement CAPTCHA recognition using MATLAB's image processing and machine learning capabilities. The code is developed based on machine learning algorithms that analyze CAPTCHA features such as character segmentation, noise reduction, and pattern recognition to perform accurate identification. Key implementation aspects include: - Image preprocessing techniques for noise removal and contrast enhancement - Feature extraction methods using edge detection and morphological operations - Classification algorithms potentially employing SVM or neural networks for character recognition - Training pipeline for model optimization with sample datasets By utilizing this code, you can understand the fundamental principles and methodologies of CAPTCHA recognition in the computer vision field. Furthermore, you can extend and improve this code by adding more sample images to enhance recognition accuracy and robustness through expanded training data and algorithm tuning. The modular design allows for easy integration of additional preprocessing techniques or alternative classification models. We hope this code serves as a valuable educational resource for your computer vision projects!