Image Processing-Based Playing Card Recognition System

This project represents my personally completed undergraduate graduation design, which was evaluated as an outstanding graduation thesis. The paper details the design and implementation process of an image processing-based playing card recognition system developed using MATLAB programming language. Through image processing and analysis techniques, the system accurately identifies playing cards, achieving automated card recognition functionality. Key implementation aspects include image preprocessing algorithms for noise reduction and contrast enhancement, feature extraction methods using pattern recognition techniques, and classification algorithms for card identification. During the design process, system stability and reliability were thoroughly considered, with corresponding testing and optimization procedures implemented. The development involved MATLAB's Image Processing Toolbox functions for operations like edge detection, color segmentation, and template matching. Through this project, I not only enhanced my programming skills but also gained deep understanding of image processing principles and their practical applications. This system aims to provide convenience for card game enthusiasts and related researchers while establishing a foundation for future research and applications in automated card recognition systems.