Explore MATLAB source code curated for "车牌识别" with clean implementations, documentation, and examples.
This license plate recognition package includes comprehensive source code and sample images, featuring robust algorithms for effective color image processing and character detection in various lighting conditions.
Automated image reading with preprocessing pipeline including image enhancement, RGB-to-gray conversion, linear grayscale transformation, median filtering, edge detection, morphological operations (dilation/erosion), blue pixel extraction, and final digit segmentation from license plates.
A self-developed license plate recognition program implemented with BP neural network, demonstrating good performance. (Both images and program files are included in the same folder)
A comprehensive MATLAB license plate recognition program featuring complete source code, including preprocessing methods, feature extraction techniques, and machine learning implementations for automatic license plate detection and identification.
A well-implemented MATLAB license plate recognition and localization program featuring straightforward functionality implementation and robust algorithmic processing
This is a custom-developed license plate recognition program utilizing neural networks, specifically optimized for Chinese blue-background license plates. The implementation includes detailed code architecture descriptions and training methodologies.
MATLAB source code for license plate recognition implementing color-based localization and segmentation techniques with function [seg] = character_segmentation(bw) - performs digit segmentation in binary images using area-based filtering and iterative refinement algorithms
Implementing license plate recognition with neural networks involves image binarization as preprocessing, followed by iterative training to establish a recognition network that meets specific performance requirements.
A complete license plate recognition program utilizing morphological methods for plate localization and neural networks for character recognition. This implementation demonstrates a simplified yet functional approach with multiple image examples, suitable for beginners to understand programming logic and methodology. Key aspects include image preprocessing, feature extraction, and pattern recognition algorithms.
Preprocessing for license plate recognition in MATLAB prepares image data for subsequent recognition tasks through algorithms like edge detection and noise filtration.