Chinese Character Template Extraction and OCR Recognition

This document presents a MATLAB-based implementation for extracting Chinese character templates and performing OCR recognition. The process begins with creating a comprehensive Chinese character database that serves as a reference library for template matching operations. The implementation utilizes image processing techniques to isolate character patterns and employs correlation-based matching algorithms to compare extracted templates against the pre-built database.

Through this systematic approach, the system achieves higher accuracy in Chinese character recognition and text processing. The methodology involves several key functions including image binarization, character segmentation, feature extraction, and pattern recognition algorithms. This enhanced recognition framework not only improves identification precision but also enables more sophisticated text processing and analysis capabilities for subsequent applications.

The implementation demonstrates how MATLAB's image processing toolbox and matrix computation capabilities can be effectively leveraged for character recognition tasks. By establishing a robust character database and employing optimized matching algorithms, this solution provides a solid foundation for handling various Chinese character-related computational challenges and applications.