Java Spring Boot License Plate Recognition and Training System (Open‑Source)
This open‑source project implements a Spring Boot and Maven based license‑plate detection and training system in Java, leveraging OpenCV and JavaCPP, supporting multiple plate colors, SVM and ANN algorithms, and providing a B/S architecture with SQLite, Swagger documentation, and extensible image‑recognition features.
The repository (https://gitee.com/admin_yu/yx-image-recognition) provides a Java‑based license‑plate recognition and training system built with Spring Boot and Maven.
Introduction: It offers a deep‑learning solution for vehicle plate detection, extending the original EasyPR project with additional green‑plate support, SVM detection, and ANN recognition, and serves as an entry‑level tutorial for image‑recognition techniques.
Features: Detects yellow, blue, green, and mixed plates; handles single or multiple images concurrently; includes training modules for plate detection and character recognition; supports both org.bytedeco.javacpp and org.opencv Java bindings.
Software Versions: JDK 1.8.61+, Maven 3.0+, OpenCV 4.0.1 (with javacpp 1.4.4), Spring Boot 2.1.5.RELEASE, and the yx‑image‑recognition 1.0.0 package.
Architecture: B/S model with HTML/RequireJS front‑end, Java back‑end, SQLite database, and Swagger 2.0 API documentation.
Operation Interface: Web UI accessible at http://localhost:16666/index and API docs at http://localhost:16666/swagger-ui.html.
Plate Detection Process: Includes Gaussian blur, grayscale conversion, Sobel edge detection, binarization, morphological closing, noise reduction, contour extraction and filtering, cropping, and resizing, producing detection results displayed as images.
Plate Character Recognition Process: Shows debugging steps such as character thresholding, clearing, and region‑of‑interest extraction with visual outputs.
Installation Guide: Set up the development environment (see ./doc/01_开发环境搭建.md), copy the PlateDetect folder to D:/PlateDetect, adjust paths in com/yuxue/constant/Constant.java, then run the Spring Boot application.
References: EasyPR project (gitee.com/easypr/EasyPR), EasyPR‑Java (github.com/fan-wenjie/EasyPR-Java), and the official OpenCV website.
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