Java Code Examples for com.google.zxing.qrcode.QRCodeReader#decode()

/**
 * 读二维码并输出携带的信息
 */
public static void readQrCode(InputStream inputStream) throws IOException {
    //从输入流中获取字符串信息
    BufferedImage image = ImageIO.read(inputStream);
    //将图像转换为二进制位图源
    LuminanceSource source = new BufferedImageLuminanceSource(image);
    BinaryBitmap bitmap = new BinaryBitmap(new HybridBinarizer(source));
    QRCodeReader reader = new QRCodeReader();
    Result result = null;
    try {
        result = reader.decode(bitmap);
    } catch (ReaderException e) {
        e.printStackTrace();
    }
    System.out.println(result.getText());
}
 

/**
 * 解析QR图内容
 *
 * @param imageView
 * @return
 */

public static String readImage(ImageView imageView) {
    String content = null;
    Map<DecodeHintType, String> hints = new HashMap<>();
    hints.put(DecodeHintType.CHARACTER_SET, "utf-8");

    // 获得待解析的图片
    Bitmap bitmap = ((BitmapDrawable) imageView.getDrawable()).getBitmap();
    RGBLuminanceSource source = new RGBLuminanceSource(bitmap);
    BinaryBitmap bitmap1 = new BinaryBitmap(new HybridBinarizer(source));
    QRCodeReader reader = new QRCodeReader();
    try {
        Result result = reader.decode(bitmap1, hints);
        // 得到解析后的文字
        content = result.getText();
    } catch (Exception e) {
        e.printStackTrace();
    }
    return content;
}
 

public static String decode(BufferedImage image) {

        // convert the image to a binary bitmap source
        LuminanceSource source = new BufferedImageLuminanceSource(image);
        BinaryBitmap bitmap = new BinaryBitmap(new HybridBinarizer(source));

        // decode the barcode
        QRCodeReader reader = new QRCodeReader();

        try {
            @SuppressWarnings("rawtypes")
            Hashtable hints = new Hashtable();
            Result result = reader.decode(bitmap, hints);


            return result.getText();
        } catch (ReaderException e) {
            // the data is improperly formatted
        }

        return "";
    }
 

public static String decode(BufferedImage image) {

        // convert the image to a binary bitmap source
        LuminanceSource source = new BufferedImageLuminanceSource(image);
        BinaryBitmap bitmap = new BinaryBitmap(new HybridBinarizer(source));

        // decode the barcode
        QRCodeReader reader = new QRCodeReader();

        try {
            @SuppressWarnings("rawtypes")
            Hashtable hints = new Hashtable();
            Result result = reader.decode(bitmap, hints);


            return result.getText();
        } catch (ReaderException e) {
            // the data is improperly formatted
        }

        return "";
    }
 

/**
 * Decode the data within the viewfinder rectangle, and time how long it took. For efficiency, reuse the same reader
 * objects from one decode to the next.
 */
public static Result decodeImage(byte[] data, int width, int height) {
    // 处理
    Result result = null;
    try {
        Hashtable<DecodeHintType, Object> hints = new Hashtable<DecodeHintType, Object>();
        hints.put(DecodeHintType.CHARACTER_SET, "utf-8");
        hints.put(DecodeHintType.TRY_HARDER, Boolean.TRUE);
        hints.put(DecodeHintType.POSSIBLE_FORMATS, BarcodeFormat.QR_CODE);
        PlanarYUVLuminanceSource source =
                new PlanarYUVLuminanceSource(data, width, height, 0, 0, width, height, false);
        /**
         * HybridBinarizer算法使用了更高级的算法，但使用GlobalHistogramBinarizer识别效率确实比HybridBinarizer要高一些。
         *
         * GlobalHistogram算法：（http://kuangjianwei.blog.163.com/blog/static/190088953201361015055110/）
         *
         * 二值化的关键就是定义出黑白的界限，我们的图像已经转化为了灰度图像，每个点都是由一个灰度值来表示，就需要定义出一个灰度值，大于这个值就为白（0），低于这个值就为黑（1）。
         * 在GlobalHistogramBinarizer中，是从图像中均匀取5行（覆盖整个图像高度），每行取中间五分之四作为样本；以灰度值为X轴，每个灰度值的像素个数为Y轴建立一个直方图，
         * 从直方图中取点数最多的一个灰度值，然后再去给其他的灰度值进行分数计算，按照点数乘以与最多点数灰度值的距离的平方来进行打分，选分数最高的一个灰度值。接下来在这两个灰度值中间选取一个区分界限，
         * 取的原则是尽量靠近中间并且要点数越少越好。界限有了以后就容易了，与整幅图像的每个点进行比较，如果灰度值比界限小的就是黑，在新的矩阵中将该点置1，其余的就是白，为0。
         */
        BinaryBitmap bitmap1 = new BinaryBitmap(new GlobalHistogramBinarizer(source));
        // BinaryBitmap bitmap1 = new BinaryBitmap(new HybridBinarizer(source));
        QRCodeReader reader2 = new QRCodeReader();
        result = reader2.decode(bitmap1, hints);
    } catch (ReaderException e) {
    }
    return result;
}
 

/**
 * Decode the data within the viewfinder rectangle, and time how long it took. For efficiency, reuse the same reader
 * objects from one decode to the next.
 */
public static Result decodeImage(byte[] data, int width, int height) {
    // 处理
    Result result = null;
    try {
        Hashtable<DecodeHintType, Object> hints = new Hashtable<DecodeHintType, Object>();
        hints.put(DecodeHintType.CHARACTER_SET, "utf-8");
        hints.put(DecodeHintType.TRY_HARDER, Boolean.TRUE);
        hints.put(DecodeHintType.POSSIBLE_FORMATS, BarcodeFormat.QR_CODE);
        PlanarYUVLuminanceSource source =
            new PlanarYUVLuminanceSource(data, width, height, 0, 0, width, height, false);
        /**
         * HybridBinarizer算法使用了更高级的算法，但使用GlobalHistogramBinarizer识别效率确实比HybridBinarizer要高一些。
         * 
         * GlobalHistogram算法：（http://kuangjianwei.blog.163.com/blog/static/190088953201361015055110/）
         * 
         * 二值化的关键就是定义出黑白的界限，我们的图像已经转化为了灰度图像，每个点都是由一个灰度值来表示，就需要定义出一个灰度值，大于这个值就为白（0），低于这个值就为黑（1）。
         * 在GlobalHistogramBinarizer中，是从图像中均匀取5行（覆盖整个图像高度），每行取中间五分之四作为样本；以灰度值为X轴，每个灰度值的像素个数为Y轴建立一个直方图，
         * 从直方图中取点数最多的一个灰度值，然后再去给其他的灰度值进行分数计算，按照点数乘以与最多点数灰度值的距离的平方来进行打分，选分数最高的一个灰度值。接下来在这两个灰度值中间选取一个区分界限，
         * 取的原则是尽量靠近中间并且要点数越少越好。界限有了以后就容易了，与整幅图像的每个点进行比较，如果灰度值比界限小的就是黑，在新的矩阵中将该点置1，其余的就是白，为0。
         */
        BinaryBitmap bitmap1 = new BinaryBitmap(new GlobalHistogramBinarizer(source));
        // BinaryBitmap bitmap1 = new BinaryBitmap(new HybridBinarizer(source));
        QRCodeReader reader2 = new QRCodeReader();
        result = reader2.decode(bitmap1, hints);
    } catch (ReaderException e) {
    }
    return result;
}
 

/**
 * Decode the data within the viewfinder rectangle, and time how long it took. For efficiency, reuse the same reader
 * objects from one decode to the next.
 */
public static Result decodeImage(byte[] data, int width, int height) {
    // 处理
    Result result = null;
    try {
        Hashtable<DecodeHintType, Object> hints = new Hashtable<DecodeHintType, Object>();
        hints.put(DecodeHintType.CHARACTER_SET, "utf-8");
        hints.put(DecodeHintType.TRY_HARDER, Boolean.TRUE);
        hints.put(DecodeHintType.POSSIBLE_FORMATS, BarcodeFormat.QR_CODE);
        PlanarYUVLuminanceSource source =
                new PlanarYUVLuminanceSource(data, width, height, 0, 0, width, height, false);
        /**
         * HybridBinarizer算法使用了更高级的算法，但使用GlobalHistogramBinarizer识别效率确实比HybridBinarizer要高一些。
         *
         * GlobalHistogram算法：（http://kuangjianwei.blog.163.com/blog/static/190088953201361015055110/）
         *
         * 二值化的关键就是定义出黑白的界限，我们的图像已经转化为了灰度图像，每个点都是由一个灰度值来表示，就需要定义出一个灰度值，大于这个值就为白（0），低于这个值就为黑（1）。
         * 在GlobalHistogramBinarizer中，是从图像中均匀取5行（覆盖整个图像高度），每行取中间五分之四作为样本；以灰度值为X轴，每个灰度值的像素个数为Y轴建立一个直方图，
         * 从直方图中取点数最多的一个灰度值，然后再去给其他的灰度值进行分数计算，按照点数乘以与最多点数灰度值的距离的平方来进行打分，选分数最高的一个灰度值。接下来在这两个灰度值中间选取一个区分界限，
         * 取的原则是尽量靠近中间并且要点数越少越好。界限有了以后就容易了，与整幅图像的每个点进行比较，如果灰度值比界限小的就是黑，在新的矩阵中将该点置1，其余的就是白，为0。
         */
        BinaryBitmap bitmap1 = new BinaryBitmap(new GlobalHistogramBinarizer(source));
        // BinaryBitmap bitmap1 = new BinaryBitmap(new HybridBinarizer(source));
        QRCodeReader reader2 = new QRCodeReader();
        result = reader2.decode(bitmap1, hints);
    } catch (ReaderException e) {
    }
    return result;
}
 

protected Result scanningImage(String path) {
    if (StringUtil.isBlank(path)) {
        return null;
    }
    // DecodeHintType 和EncodeHintType
    Hashtable<DecodeHintType, String> hints = new Hashtable<DecodeHintType, String>();
    hints.put(DecodeHintType.CHARACTER_SET, "utf-8"); // 设置二维码内容的编码
    BitmapFactory.Options options = new BitmapFactory.Options();
    options.inJustDecodeBounds = true; // 先获取原大小
    scanBitmap = BitmapFactory.decodeFile(path, options);
    options.inJustDecodeBounds = false; // 获取新的大小

    int sampleSize = (int) (options.outHeight / (float) 200);

    if (sampleSize <= 0)
        sampleSize = 1;
    options.inSampleSize = sampleSize;
    scanBitmap = BitmapFactory.decodeFile(path, options);
    int width = scanBitmap.getWidth(), height = scanBitmap.getHeight();
    int[] pixels = new int[width * height];
    scanBitmap.getPixels(pixels, 0, width, 0, 0, width, height);
    scanBitmap.recycle();
    scanBitmap = null;
    RGBLuminanceSource source = new RGBLuminanceSource(width, height, pixels);
    BinaryBitmap bitmap1 = new BinaryBitmap(new HybridBinarizer(source));
    QRCodeReader reader = new QRCodeReader();
    try {
        return reader.decode(bitmap1, hints);
    } catch (Exception e) {
        e.printStackTrace();
    }
    return null;
}
 

/**
 * 解码 QRCode 图片，解析出其内容
 *
 * @param imageURI QRCode 图片 URI
 * @return 解析后的内容
 * @throws IOException
 */
public static String decodeQRCodeImage(URI imageURI) throws IOException {

    BufferedImage bufferedImage = ImageReader.readImage(imageURI);
    LuminanceSource source = new BufferedImageLuminanceSource(bufferedImage);
    BinaryBitmap bitmap = new BinaryBitmap(new HybridBinarizer(source));
    QRCodeReader reader = new QRCodeReader();
    try {
        Result result = reader.decode(bitmap);
        return result.getText();
    } catch (ReaderException e) {
        e.printStackTrace();
    }
    return "";
}
 

public static String getStringFromQRCode(String path) {
        String httpString = null;

        Bitmap bmp = convertToBitmap(path);
        byte[] data = getYUV420sp(bmp.getWidth(), bmp.getHeight(), bmp);
        // 处理
        try {
            Hashtable<DecodeHintType, Object> hints = new Hashtable<DecodeHintType, Object>();
//            hints.put(DecodeHintType.CHARACTER_SET, "utf-8");
            hints.put(DecodeHintType.TRY_HARDER, Boolean.TRUE);
            hints.put(DecodeHintType.POSSIBLE_FORMATS, BarcodeFormat.QR_CODE);
            PlanarYUVLuminanceSource source = new PlanarYUVLuminanceSource(data,
                    bmp.getWidth(),
                    bmp.getHeight(),
                    0, 0,
                    bmp.getWidth(),
                    bmp.getHeight(),
                    false);
            BinaryBitmap bitmap1 = new BinaryBitmap(new HybridBinarizer(source));
            QRCodeReader reader2= new QRCodeReader();
            Result result = reader2.decode(bitmap1, hints);

            httpString = result.getText();
        } catch (Exception e) {
            e.printStackTrace();
        }

        bmp.recycle();
        bmp = null;

        return httpString;
    }
 

/**
 * 直接识别二维码位图
 *
 * @param bitmap 二维码位图
 * @return 二维码包含的内容
 */
public static String recognizeQrCode(Bitmap bitmap)
{
    if (bitmap == null)
        return null;
    Hashtable<DecodeHintType, String> hints = new Hashtable<>();
    hints.put(DecodeHintType.CHARACTER_SET, "utf-8"); // 设置二维码内容的编码
    //获取图片的像素存入到数组
    int[] pixels = new int[bitmap.getWidth() * bitmap.getHeight()];
    bitmap.getPixels(pixels, 0, bitmap.getWidth(), 0, 0, bitmap.getWidth(), bitmap.getHeight());
    RGBLuminanceSource source = new RGBLuminanceSource(bitmap.getWidth(), bitmap.getHeight(), pixels);
    BinaryBitmap bitmap1 = new BinaryBitmap(new HybridBinarizer(source));
    QRCodeReader reader = new QRCodeReader();
    try
    {
        Result result = reader.decode(bitmap1, hints);
        if (reader == null)
        {
            return null;
        } else
        {
            String str = result.toString();
            boolean ISO = Charset.forName("ISO-8859-1").newEncoder().canEncode(str);
            if (ISO)
                str = new String(str.getBytes("ISO-8859-1"), "GB2312");
            return str;
        }
    } catch (Exception e)
    {
        Log.e("QrCodeHelper", "recognizeQrCode fail:" + e.toString());
    }
    return null;
}
 

private String decode(byte[] data, int width, int height) {
    ScannerManager manager = mManager.get();
    if (manager == null) {
        return null;
    }
    Rect rect = manager.getFramingRectInPreview();
    PlanarYUVLuminanceSource source = new PlanarYUVLuminanceSource(data,
            width, height, rect.left, rect.top, rect.right, rect.bottom, false);
    BinaryBitmap bitmap = new BinaryBitmap(new HybridBinarizer(source));
    QRCodeReader reader = new QRCodeReader();
    try {
        Result result = reader.decode(bitmap, mHints);
        return result.getText();
    } catch (ReaderException e) {
        // Ignore as we will repeatedly decode the preview frame
        return null;
    }
}
 

@Test
public void testQRWorks() throws Exception {
    HttpGet getRequest = new HttpGet(httpServerUrl + clientPair.token + "/qr");
    String cloneToken;
    try (CloseableHttpResponse response = httpclient.execute(getRequest)) {
        assertEquals(200, response.getStatusLine().getStatusCode());
        assertEquals("image/png", response.getFirstHeader("Content-Type").getValue());
        byte[] data = EntityUtils.toByteArray(response.getEntity());
        assertNotNull(data);

        //get the data from the input stream
        BufferedImage image = ImageIO.read(new ByteArrayInputStream(data));

        //convert the image to a binary bitmap source
        LuminanceSource source = new BufferedImageLuminanceSource(image);
        BinaryBitmap bitmap = new BinaryBitmap(new HybridBinarizer(source));
        QRCodeReader reader = new QRCodeReader();
        Result result = reader.decode(bitmap);
        String resultString = result.getText();
        assertTrue(resultString.startsWith("blynk://token/clone/"));
        assertTrue(resultString.endsWith("?server=127.0.0.1&port=10443"));
        cloneToken = resultString.substring(
                resultString.indexOf("blynk://token/clone/") + "blynk://token/clone/".length(),
                resultString.indexOf("?server=127.0.0.1&port=10443"));
        assertEquals(32, cloneToken.length());
    }

    clientPair.appClient.send("getProjectByCloneCode " + cloneToken);
    DashBoard dashBoard = clientPair.appClient.parseDash(1);
    assertEquals("My Dashboard", dashBoard.name);
}
 

@ReactMethod
public void decode(String path, Callback callback) {
    Hashtable<DecodeHintType, String> hints = new Hashtable<DecodeHintType, String>();
    hints.put(DecodeHintType.CHARACTER_SET, "utf-8"); // 设置二维码内容的编码
    BitmapFactory.Options options = new BitmapFactory.Options();
    options.inJustDecodeBounds = true; // 先获取原大小
    options.inJustDecodeBounds = false; // 获取新的大小

    int sampleSize = (int) (options.outHeight / (float) 200);

    if (sampleSize <= 0)
        sampleSize = 1;
    options.inSampleSize = sampleSize;
    Bitmap scanBitmap = null;
    if (path.startsWith("http://")||path.startsWith("https://")) {
        scanBitmap = this.getbitmap(path);
    } else {
        scanBitmap = BitmapFactory.decodeFile(path, options);
    }
    if (scanBitmap == null) {
        callback.invoke("cannot load image");
        return;
    }
    int[] intArray = new int[scanBitmap.getWidth()*scanBitmap.getHeight()];
    scanBitmap.getPixels(intArray, 0, scanBitmap.getWidth(), 0, 0, scanBitmap.getWidth(), scanBitmap.getHeight());

    RGBLuminanceSource source = new RGBLuminanceSource(scanBitmap.getWidth(), scanBitmap.getHeight(), intArray);
    BinaryBitmap bitmap = new BinaryBitmap(new HybridBinarizer(source));
    QRCodeReader reader = new QRCodeReader();
    try {
        Result result = reader.decode(bitmap, hints);
        if (result == null) {
            callback.invoke("image format error");
        } else {
            callback.invoke(null, result.toString());
        }

    } catch (Exception e) {
        callback.invoke("decode error");
    }
}
 

private void testBarcodeOtp() throws Exception {
    assumeFalse(driver instanceof HtmlUnitDriver); // HtmlUnit browser cannot take screenshots
    TakesScreenshot screenshotDriver = (TakesScreenshot) driver;
    QRCodeReader qrCodeReader = new QRCodeReader();

    initiateRequiredAction(otpSetupPage);

    otpSetupPage.localeDropdown().selectAndAssert(CUSTOM_LOCALE_NAME);

    otpSetupPage.clickManualMode();
    otpSetupPage.clickBarcodeMode();

    assertTrue(otpSetupPage.isBarcodePresent());
    assertFalse(otpSetupPage.isSecretKeyPresent());
    assertTrue(otpSetupPage.feedbackMessage().isWarning());
    assertEquals("You need to set up Mobile Authenticator to activate your account.", otpSetupPage.feedbackMessage().getText());

    // empty input
    otpSetupPage.submit();
    assertTrue(otpSetupPage.feedbackMessage().isError());
    assertEquals("Please specify authenticator code.", otpSetupPage.feedbackMessage().getText());

    // take a screenshot of the QR code
    byte[] screenshot = screenshotDriver.getScreenshotAs(OutputType.BYTES);
    BufferedImage screenshotImg = ImageIO.read(new ByteArrayInputStream(screenshot));
    BinaryBitmap screenshotBinaryBitmap = new BinaryBitmap(new HybridBinarizer(new BufferedImageLuminanceSource(screenshotImg)));
    Result qrCode = qrCodeReader.decode(screenshotBinaryBitmap);

    // parse the QR code string
    Pattern qrUriPattern = Pattern.compile("^otpauth:\\/\\/(?<type>.+)\\/(?<realm>.+):(?<user>.+)\\?secret=(?<secret>.+)&digits=(?<digits>.+)&algorithm=(?<algorithm>.+)&issuer=(?<issuer>.+)&(?:period=(?<period>.+)|counter=(?<counter>.+))$");
    Matcher qrUriMatcher = qrUriPattern.matcher(qrCode.getText());
    assertTrue(qrUriMatcher.find());

    // extract data
    String type = qrUriMatcher.group("type");
    String realm = qrUriMatcher.group("realm");
    String user = qrUriMatcher.group("user");
    String secret = qrUriMatcher.group("secret");
    int digits = Integer.parseInt(qrUriMatcher.group("digits"));
    String algorithm = qrUriMatcher.group("algorithm");
    String issuer = qrUriMatcher.group("issuer");
    Integer period = type.equals(TOTP) ? Integer.parseInt(qrUriMatcher.group("period")) : null;
    Integer counter = type.equals(HOTP) ? Integer.parseInt(qrUriMatcher.group("counter")) : null;

    RealmRepresentation realmRep = testRealmResource().toRepresentation();
    String expectedRealmName = realmRep.getDisplayName() != null && !realmRep.getDisplayName().isEmpty() ? realmRep.getDisplayName() : realmRep.getRealm();

    // basic assertations
    assertEquals(QR_CODE, qrCode.getBarcodeFormat());
    assertEquals(expectedRealmName, realm);
    assertEquals(expectedRealmName, issuer);
    assertEquals(testUser.getUsername(), user);

    // the actual test
    testOtp(type, algorithm, digits, period, counter, secret);
}
 

public String decode(BufferedImage image) throws IOException {

		LuminanceSource source = new BufferedImageLuminanceSource(image);
		BinaryBitmap bitmap = new BinaryBitmap(new HybridBinarizer(source));

		QRCodeReader reader = new QRCodeReader();

		try {

			Hashtable<DecodeHintType, Object> hints = new Hashtable<DecodeHintType, Object>();
			Result result = reader.decode(bitmap, hints);

			return result.getText();
		} catch (ReaderException e) {
			throw new IOException(e);
		}

	}
 

/**
 * 解析二维码
 * @param binaryBitmap 二维码图类
 * @return 解析信息
 * @throws FormatException
 * @throws ChecksumException
 * @throws NotFoundException
 */
private static Result readQRcode(BinaryBitmap binaryBitmap, Map<DecodeHintType, Object> decodeHints) throws FormatException, ChecksumException, NotFoundException {
    QRCodeReader reader = new QRCodeReader();
    return reader.decode(binaryBitmap, decodeHints);
}