使用zxing二維碼識別

1.多二維碼識別 (同一張圖片中多二維碼識別)

　　直接上代碼舒服：

pom文件：

1         <!-- QR Code -->
2         <dependency>
3             <groupId>com.google.zxing</groupId>
4             <artifactId>core</artifactId>
5             <version>3.3.3</version>
6         </dependency>、

 1    /**
 2      * Parse multiple qr codes(解析多個二維碼)
 3      *  使用java實現
 4      *
 5      * @param bufferedImage image
 6      * @return QRCode analysis results
 7      */
 8     @Override
 9     public Result[] analysisQRCodeOfMore(BufferedImage bufferedImage) {
10         QRCodeMultiReader qrCodeMultiReader = new QRCodeMultiReader();
11         Result[] results = null;
12         try {
13             BinaryBitmap binaryBitmap = new BinaryBitmap(new HybridBinarizer(new BufferedImageLuminanceSource(bufferedImage)));
14             Map hints = new Hashtable();
15             hints.put(EncodeHintType.CHARACTER_SET, SystemConstants.SYS_ENC);
16             hints.put(DecodeHintType.TRY_HARDER, Boolean.TRUE);   //優化精度
17             hints.put(DecodeHintType.PURE_BARCODE, Boolean.TRUE); //複雜模式，開啟PURE_BARCODE模式； 帶圖片LOGO的解碼方案
18             hints.put(DecodeHintType.POSSIBLE_FORMATS,BarcodeFormat.QR_CODE);//指定識別的二維碼格式
19             results = qrCodeMultiReader.decodeMultiple(binaryBitmap, hints);
20         } catch (NotFoundException e) {
21             //e.printStackTrace();
22             System.err.println("二維碼識別中...");
23         }
24         return results;
25     }

註意：開啟精度優化與複雜模式會消耗識別時間！

在多二維碼識別中，應該說是zxing的一個小bug，在識別過程中對於模糊一點的圖片，會一直拋異常 (二維碼識別中...) 直至二維碼識別不出來，或者二維碼識別出來；此問題沒來得及細細研究，等日後補充；

2.單二維碼識別：

 1     private String decodeQRCode(Mat src) {
 2         if (src == null) {
 3             return null;
 4         }
 5         BufferedImage image;
 6         try {
 7             image = ImageUtils.mat2BufferedImage(src, ".jpg");
 8             LuminanceSource source = new BufferedImageLuminanceSource(image);
 9             Binarizer binarizer = new HybridBinarizer(source);
10             BinaryBitmap binaryBitmap = new BinaryBitmap(binarizer);
11             Map<DecodeHintType, Object> hints = new HashMap<>();
12             hints.put(DecodeHintType.CHARACTER_SET, SystemConstants.SYS_ENC);
13             hints.put(DecodeHintType.TRY_HARDER, Boolean.TRUE);
14             Result resultText = new MultiFormatReader().decode(binaryBitmap, hints);
15             return resultText.getText();
16         } catch (NotFoundException e) {
17             LogUtils.info("[QRCodeServiceImpl] decodeQRCode image transform failed.");
18         }
19         return null;
20     }

以上代碼使用opencv格式的圖片來轉換為BufferedImage為需要的入參；

3. (擴展) 多二維碼識別與多二維碼識別不同點：

1  public Result[] decodeMultiple(BinaryBitmap image, Map<DecodeHintType,?> hints)

單二維碼識別函數：

1 public Result decode(BinaryBitmap image, Map<DecodeHintType,?> hints)

完畢！

private String decodeQRCode(Mat src) {
    if (src == null) {
        return null;
}
    BufferedImage image;
    try {
        image = ImageUtils.mat2BufferedImage(src, ".jpg");
LuminanceSource source = new BufferedImageLuminanceSource(image);
Binarizer binarizer = new HybridBinarizer(source);
BinaryBitmap binaryBitmap = new BinaryBitmap(binarizer);
Map<DecodeHintType, Object> hints = new HashMap<>();
hints.put(DecodeHintType.CHARACTER_SET, SystemConstants.SYS_ENC);
hints.put(DecodeHintType.TRY_HARDER, Boolean.TRUE);
Result resultText = new MultiFormatReader().decode(binaryBitmap, hints);
        return resultText.getText();
} catch (NotFoundException e) {
        LogUtils.info("[QRCodeServiceImpl] decodeQRCode image transform failed.");
}
    return null;
}