引入依赖：

    <dependency>
      <groupId>org.bytedeco</groupId>
      <artifactId>javacv-platform</artifactId>
      <version>1.5.5</version>
    </dependency>

引入中文语言训练数据集：chi_sim

GitHub - tesseract-ocr/tessdata: Trained models with fast variant of the "best" LSTM models + legacy modelsTrained models with fast variant of the "best" LSTM models + legacy models - GitHub - tesseract-ocr/tessdata: Trained models with fast variant of the "best" LSTM models + legacy modelshttps://github.com/tesseract-ocr/tessdata代码示例：

import org.bytedeco.javacpp.BytePointer;
import org.bytedeco.leptonica.PIX;
import org.bytedeco.leptonica.global.lept;
import org.bytedeco.tesseract.TessBaseAPI;

public class JavaCVOcr {

    public static String OCR(String lng,String dataPath,String imagePath) {
        TessBaseAPI api=new TessBaseAPI();
        if (api.Init(dataPath, lng)!=0){
            System.out.println("error");
        }

        PIX image= lept.pixRead(imagePath);

        if (image==null){
            return "";
        }
        api.SetImage(image);
        BytePointer outText=api.GetUTF8Text();
        String result=outText.getString();
        api.End();
        outText.deallocate();
        lept.pixDestroy(image);
        return result;
    }

    public static void main(String[] args) {

        String property = System.getProperty("user.dir");
        String text= OCR("chi_sim", property, "C:\\Users\\Desktop\\1693147958548.png");
        System.out.println(text);
    }
}