MATLAB Source Code for License Plate Localization Using Adaboost Algorithm
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Resource Overview
Updated October 10th Adaboost-based license plate localization MATLAB source code with improvements from the second upload. The implementation still requires substantial training time but includes integral image computation, Haar feature generation modules, and Adaboost classifier training. MATLAB experts are welcome to optimize the feature extraction and training pipeline for better performance - interested users can download and contribute enhancements.
Detailed Documentation
This is a modified MATLAB source code implementation for license plate localization using the Adaboost machine learning algorithm, uploaded on October 10th. The code features integral image calculation for efficient feature computation and Haar-like feature generation for training weak classifiers. While the training process remains computationally intensive due to the large feature space, the implementation demonstrates core Adaboost concepts including iterative classifier weighting and final strong classifier combination. MATLAB programming experts are encouraged to optimize the feature selection algorithm and training efficiency. Interested researchers and developers are welcome to download and experiment with the code. Your support and contributions would be greatly appreciated.
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