OpenCV优化验证码识别

素颜马尾好姑娘i 2023-10-08 22:38 10阅读 0赞

> 首先请确保本地已经安装 OpenCV  
> 主要参考文章：https://blog.csdn.net/u014644574/article/details/122065292

**原图：**  
![原图][309f42f8f9c642bda7924821c9d71bd8.jpeg]  
**处理过后的图片：**  
![在这里插入图片描述][092b13894b374f3884457e8d2c9509c7.png]

没有绝对完美的验证码识别策略，只能因时因地的进行适配调整。以下给出一个范例：

<dependency>
        <groupId>org.bytedeco</groupId>
        <artifactId>javacv-platform</artifactId>
        <version>1.5.7</version>
    </dependency>

// 加载本地 OpenCV core 模块
    Loader.load(opencv_core.class);
    String fileName = "/Users/thinkstu/Desktop/opencv_test/";
    
    // 读取图片，类型为彩色
    String imagePath = "/Users/thinkstu/Desktop/5.png";
    Mat    src       = opencv_imgcodecs.imread(imagePath, COLOR_BGR2RGB);
    
    // 灰阶处理，并保存（下面每一次操作都将保存一张图片）
    Mat gray = new Mat();
    opencv_imgproc.cvtColor(src, gray, opencv_imgproc.COLOR_BGR2GRAY);
    opencv_imgcodecs.imwrite(fileName + "gray.jpg", gray);
    
    // 黑白转换，binary 即 2 个极端
    Mat binary = new Mat();
    opencv_imgproc.adaptiveThreshold(gray,binary,255,Imgproc.ADAPTIVE_THRESH_MEAN_C,Imgproc.THRESH_BINARY, 11, 2);
    opencv_imgcodecs.imwrite(fileName + "binary.jpg", binary);
    
    // 中值滤波，去噪点（ 3 为去噪级别）
    Mat medianBlurImage = new Mat();
    opencv_imgproc.medianBlur(binary, medianBlurImage, 3);
    opencv_imgcodecs.imwrite(fileName + "medianBlur.jpg", medianBlurImage);
    
    // 膨胀
    Mat dilated = new Mat();
    Mat dilateKernel = opencv_imgproc
            .getStructuringElement(opencv_imgproc.MORPH_RECT, new Size(2, 2));
    opencv_imgproc.dilate(medianBlurImage, dilated, dilateKernel);
    opencv_imgcodecs.imwrite(fileName + "dilated.jpg", dilated);
    
    // 腐蚀
    Mat eroded = new Mat();
    Mat erodeKernel = opencv_imgproc
            .getStructuringElement(opencv_imgproc.MORPH_RECT, new Size(2, 2));
    opencv_imgproc.erode(dilated, eroded, erodeKernel);
    opencv_imgcodecs.imwrite(fileName + "eroded.png", eroded);
    
    // 在此处添加验证码识别代码，例如使用 Tesseract OCR 或其他库进行识别
    src.release();
    gray.release();
    binary.release();
    dilated.release();
    eroded.release();

[309f42f8f9c642bda7924821c9d71bd8.jpeg]: https://img-blog.csdnimg.cn/309f42f8f9c642bda7924821c9d71bd8.jpeg
[092b13894b374f3884457e8d2c9509c7.png]: https://img-blog.csdnimg.cn/092b13894b374f3884457e8d2c9509c7.png