License Plate Preprocessing (Image Segmentation)
License Plate Preprocessing (Image Segmentation) Followed by Character Recognition
Explore MATLAB source code curated for "文字识别" with clean implementations, documentation, and examples.
License Plate Preprocessing (Image Segmentation) Followed by Character Recognition
Implement text and digit extraction from images with output to text files using image processing and OCR techniques
MATLAB source program implementing character recognition with computation of 7 invariant moments for shape analysis and feature extraction
A comprehensive image processing program developed in MATLAB featuring: P0801 - Call Number Text Image Segmentation, P0802 - Connected Character Segmentation, P0803 - Text Recognition, P0804 - Color License Plate Segmentation, P0805 - Trademark Text Segmentation, with auxiliary functions including: Recognition - text recognition subfunction, StrDetect01 - structural feature extraction subfunction for text recognition
A facial recognition program based on the classic KL Transform algorithm, which can be adapted with minor modifications for general image and text recognition applications.
Text Image Recognition: Call number text image segmentation; adhesive character segmentation; character recognition; colored license plate segmentation; trademark text segmentation; recognition subfunctions for text recognition; structural feature extraction subfunctions for text recognition
Source files for text recognition using MATLAB digital image processing, featuring comprehensive algorithms and implementation examples
MATLAB experimental implementation of Probabilistic Neural Network algorithm for pattern recognition applications including license plate recognition and text recognition
Comprehensive MATLAB programs and code examples covering image segmentation, pattern recognition, and text recognition algorithms, including beginner-friendly implementations with detailed explanations of key functions and processing techniques.
Text recognition implementation featuring test images with excellent performance results, demonstrating effective OCR capabilities using MATLAB's image processing and machine learning tools