OcrUtil.java
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package com.xly.ocr.util;
import cn.hutool.core.io.FileUtil;
import cn.hutool.core.util.StrUtil;
import com.benjaminwan.ocrlibrary.OcrResult;
import com.benjaminwan.ocrlibrary.TextBlock;
import io.github.mymonstercat.Model;
import io.github.mymonstercat.ocr.InferenceEngine;
import io.github.mymonstercat.ocr.config.ParamConfig;
import lombok.extern.slf4j.Slf4j;
import org.springframework.web.multipart.MultipartFile;
import javax.imageio.ImageIO;
import java.awt.*;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;
import java.util.List;
@Slf4j
public class OcrUtil {
static {
try {
String customTempDir = "D:/temp/ocrJava";
File tempDir = new File(customTempDir);
if (!tempDir.exists()) {
tempDir.mkdirs();
}
System.setProperty("java.io.tmpdir", customTempDir);
System.setProperty("TMP", customTempDir);
System.setProperty("TEMP", customTempDir);
System.out.println("==================================");
System.out.println("临时目录: " + System.getProperty("java.io.tmpdir"));
System.out.println("==================================");
} catch (Exception e) {
System.err.println("设置临时目录失败: " + e.getMessage());
}
}
public static String ocrFile(MultipartFile imageFile, String sTmpPath){
String processedImagePath = StrUtil.EMPTY;
try {
log.info("OCR 程序开始执行...");
// 1. 初始化引擎（使用 v4 模型）
log.info("正在初始化 OCR 引擎 (PP-OCRv4)...");
InferenceEngine engine = InferenceEngine.getInstance(Model.ONNX_PPOCR_V4);
// 2. 创建优化的参数配置
ParamConfig config = createOptimizedParamConfig();
// 4. 图像预处理（直接处理原图，不保存临时文件）
System.out.println("正在进行图像预处理...");
File file = multipartFileToFile(imageFile);
BufferedImage processedImage = preprocessImage(file);
// 5. 保存预处理后的图片到临时目录
if(!FileUtil.exist(sTmpPath)){
FileUtil.mkdir(sTmpPath);
}
processedImagePath = sTmpPath+"/processed_" + System.currentTimeMillis() + ".png";
ImageIO.write(processedImage, "png", new File(processedImagePath));
log.info("预处理图片已保存: " + processedImagePath);
// 6. 执行识别
log.info("开始识别图片...");
long startTime = System.currentTimeMillis();
OcrResult ocrResult = engine.runOcr(processedImagePath, config);
long endTime = System.currentTimeMillis();
// 7. 输出结果
String text = ocrResult.getStrRes().trim();
log.info("\n==================================");
log.info("识别结果：");
log.info(text);
log.info("==================================");
log.info("识别耗时: " + (endTime - startTime) + " ms");
// 8. 输出每个文本块
// if (ocrResult.getTextBlocks() != null && !ocrResult.getTextBlocks().isEmpty()) {
// System.out.println("\n文本块详情（共" + ocrResult.getTextBlocks().size() + "块）：");
// List<TextBlock> textBlocks = ocrResult.getTextBlocks();
// for (int i = 0; i < textBlocks.size(); i++) {
// TextBlock block = textBlocks.get(i);
// System.out.printf(" 块%d: %s (置信度: %.2f)%n",
// i + 1,
// block.getText(),
// block.getBoxScore()
// );
// }
// }
return text;
} catch (Exception e) {
System.err.println("OCR 识别失败: " + e.getMessage());
e.printStackTrace();
}finally {
// 9. 清理临时文件
FileUtil.del(processedImagePath);
}
return StrUtil.EMPTY;
}
/**
* 优化的参数配置
*/
private static ParamConfig createOptimizedParamConfig() {
ParamConfig config = new ParamConfig();
config.setPadding(50);
config.setMaxSideLen(0);
config.setBoxScoreThresh(0.4f);
config.setBoxThresh(0.25f);
config.setUnClipRatio(1.8f);
config.setDoAngle(true);
config.setMostAngle(true);
return config;
}
/**
* 图像预处理 - 直接返回处理后的 BufferedImage
*/
private static BufferedImage preprocessImage(File imageFile) throws IOException {
BufferedImage original = ImageIO.read(imageFile);
if (original == null) {
throw new IOException("无法读取图片: " + imageFile.getPath());
}
System.out.println("原始尺寸: " + original.getWidth() + "x" + original.getHeight());
BufferedImage processed = original;
// 1. 如果图片太大，缩小尺寸
if (processed.getWidth() > 2000 || processed.getHeight() > 2000) {
processed = resizeImage(processed, 1600, 1600);
}
// 2. 增强对比度
processed = enhanceContrast(processed);
System.out.println("处理后尺寸: " + processed.getWidth() + "x" + processed.getHeight());
return processed;
}
/***
* @Author 钱豹
* @Date 11:01 2026/4/1
* @Param [multipartFile]
* @return java.io.File
* @Description 图片对象转换
**/
public static File multipartFileToFile(MultipartFile multipartFile) throws IOException {
// 创建临时文件
File file = File.createTempFile("temp", null);
// 将 MultipartFile 的内容传输到 File
multipartFile.transferTo(file);
return file;
}
/**
* 调整图片大小
*/
private static BufferedImage resizeImage(BufferedImage image, int maxWidth, int maxHeight) {
int w = image.getWidth();
int h = image.getHeight();
double ratio = Math.min((double) maxWidth / w, (double) maxHeight / h);
if (ratio >= 1) return image;
int newW = (int) (w * ratio);
int newH = (int) (h * ratio);
BufferedImage resized = new BufferedImage(newW, newH, BufferedImage.TYPE_INT_RGB);
Graphics2D g = resized.createGraphics();
g.setRenderingHint(RenderingHints.KEY_INTERPOLATION, RenderingHints.VALUE_INTERPOLATION_BICUBIC);
g.drawImage(image, 0, 0, newW, newH, null);
g.dispose();
return resized;
}
/**
* 增强对比度
*/
private static BufferedImage enhanceContrast(BufferedImage image) {
BufferedImage result = new BufferedImage(image.getWidth(), image.getHeight(), image.getType());
for (int y = 0; y < image.getHeight(); y++) {
for (int x = 0; x < image.getWidth(); x++) {
Color c = new Color(image.getRGB(x, y));
int r = Math.min(255, (int) (c.getRed() * 1.15));
int g = Math.min(255, (int) (c.getGreen() * 1.15));
int b = Math.min(255, (int) (c.getBlue() * 1.15));
result.setRGB(x, y, new Color(r, g, b).getRGB());
}
}
return result;
}
public static void main(String[] args) {
try {
System.out.println("OCR 程序开始执行...");
// 1. 初始化引擎（使用 v4 模型）
System.out.println("正在初始化 OCR 引擎 (PP-OCRv4)...");
InferenceEngine engine = InferenceEngine.getInstance(Model.ONNX_PPOCR_V4);
// 2. 创建优化的参数配置
ParamConfig config = createOptimizedParamConfig();
// 3. 图片路径
String imagePath = "E:/aa/b.jpg";
File imageFile = new File(imagePath);
if (!imageFile.exists()) {
System.err.println("图片文件不存在: " + imagePath);
return;
}
// 4. 图像预处理（直接处理原图，不保存临时文件）
System.out.println("正在进行图像预处理...");
BufferedImage processedImage = preprocessImage(imageFile);
// 5. 保存预处理后的图片到临时目录
String processedImagePath = "D:/temp/ocrJava/processed_" + System.currentTimeMillis() + ".png";
ImageIO.write(processedImage, "png", new File(processedImagePath));
System.out.println("预处理图片已保存: " + processedImagePath);
// 6. 执行识别
System.out.println("开始识别图片...");
long startTime = System.currentTimeMillis();
OcrResult ocrResult = engine.runOcr(processedImagePath, config);
long endTime = System.currentTimeMillis();
// 7. 输出结果
String text = ocrResult.getStrRes().trim();
System.out.println("\n==================================");
System.out.println("识别结果：");
System.out.println(text);
System.out.println("==================================");
System.out.println("识别耗时: " + (endTime - startTime) + " ms");
// 8. 输出每个文本块
if (ocrResult.getTextBlocks() != null && !ocrResult.getTextBlocks().isEmpty()) {
System.out.println("\n文本块详情（共" + ocrResult.getTextBlocks().size() + "块）：");
List<TextBlock> textBlocks = ocrResult.getTextBlocks();
for (int i = 0; i < textBlocks.size(); i++) {
TextBlock block = textBlocks.get(i);
System.out.printf(" 块%d: %s (置信度: %.2f)%n",
i + 1,
block.getText(),
block.getBoxScore()
);
}
}
// 9. 清理临时文件
new File(processedImagePath).delete();
} catch (Exception e) {
System.err.println("OCR 识别失败: " + e.getMessage());
e.printStackTrace();
}
}
}