二維碼已成為現代應用中不可或缺的資訊傳遞方式。本文將詳細介紹如何使用 Google 的 ZXing 庫在 Java 中生成帶有自定義文字的二維碼圖片,並提供完整的程式碼範例供參考學習。
首先在專案的 pom.xml 中引入 ZXing 核心庫:
<dependency>
<groupId>com.google.zxing</groupId>
<artifactId>core</artifactId>
<version>3.2.1</version>
</dependency>
建立工具類 QRCodeUtil,封裝二維碼生成邏輯:
import com.google.zxing.*;
import com.google.zxing.common.BitMatrix;
import javax.imageio.ImageIO;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
public class QRCodeUtil {
private static final int BLACK = 0xFF000000;
private static final int WHITE = 0xFFFFFFFF;
private static final int WIDTH = 300;
private static final int HEIGHT = 300;
/** 將 BitMatrix 轉換為 BufferedImage */
public static BufferedImage toBufferedImage(BitMatrix matrix) {
int width = matrix.getWidth();
int height = matrix.getHeight();
BufferedImage image = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB);
for (int x = 0; x < width; x++) {
for (int y = 0; y < height; y++) {
image.setRGB(x, y, matrix.get(x, y) ? BLACK : WHITE);
}
}
return image;
}
/** 生成二維碼並寫入文件 */
public static void writeToFile(String content, String format, File file) throws Exception {
MultiFormatWriter writer = new MultiFormatWriter();
Map<EncodeHintType, Object> hints = new HashMap<>();
hints.put(EncodeHintType.CHARACTER_SET, "UTF-8"); // 防止中文亂碼
hints.put(EncodeHintType.MARGIN, 1); // 設置邊距
hints.put(EncodeHintType.ERROR_CORRECTION, ErrorCorrectionLevel.H); // 高容錯率
BitMatrix bitMatrix = writer.encode(content, BarcodeFormat.QR_CODE, WIDTH, HEIGHT, hints);
BufferedImage image = toBufferedImage(bitMatrix);
if (!ImageIO.write(image, format, file)) {
throw new IOException("無法寫入圖片文件: " + file);
}
}
}
使用 Java 2D 繪圖 API 將文字繪製到已生成的二維碼圖片上:
import java.awt.*;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.FileOutputStream;
import javax.imageio.ImageIO;
/** 給二維碼圖片添加文字水印 */
public static void pressText(String pressText, File qrFile, int fontStyle, Color color, int fontSize) throws Exception {
Image src = ImageIO.read(qrFile);
int imageW = src.getWidth(null);
int imageH = src.getHeight(null);
BufferedImage image = new BufferedImage(imageW, imageH, BufferedImage.TYPE_INT_RGB);
Graphics g = image.createGraphics();
g.drawImage(src, 0, 0, imageW, imageH, null);
g.setColor(color);
Font font = new Font("宋體", fontStyle, fontSize);
FontMetrics metrics = g.getFontMetrics(font);
// 計算文字居中座標
int startX = (WIDTH - metrics.stringWidth(pressText)) / 2;
int startY = HEIGHT / 2 + metrics.getAscent() / 2; // 微調垂直居中
g.setFont(font);
g.drawString(pressText, startX, startY);
g.dispose();
try (FileOutputStream out = new FileOutputStream(qrFile)) {
ImageIO.write(image, "JPEG", out);
}
System.out.println("文字添加成功");
}
public static void main(String[] args) throws Exception {
File qrFile = new File("/tmp/qrcode_with_text.jpg");
// 1. 生成基本二維碼
QRCodeUtil.writeToFile("https://www.example.com", "jpg", qrFile);
// 2. 添加中央文字
QRCodeUtil.pressText("掃碼訪問", qrFile, Font.BOLD, Color.RED, 24);
}
EncodeHintType.CHARACTER_SET 設置 UTF-8 編碼,解決中文亂碼問題ErrorCorrectionLevel.H 可讓二維碼在遮擋 30% 時仍可識讀FontMetrics 實現精確居中實際專案中可考慮: