License Plate Recognition System
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Resource Overview
Detailed Documentation
Complete license plate recognition code involves multiple processing stages. First, image preprocessing is required to extract the license plate region from vehicle images using techniques like Gaussian filtering, edge detection (e.g., Sobel/Canny operators), and morphological operations. Second, Optical Character Recognition (OCR) technology is implemented through character segmentation algorithms (like connected component analysis) and classification models (such as CNN or SVM) to convert characters in the plate region into text. Finally, post-processing data analysis matches recognition results with vehicle/owner information using database management systems (e.g., SQL queries) and stores them in structured databases. Therefore, a comprehensive license plate recognition system requires integration of image processing, OCR technology, database management (like MySQL/PostgreSQL), and backend data processing frameworks.
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