一，Google原生zXing包使用：
1.CaptureActivity就是扫描界面
//跳转到扫描界面
public void btn(View view) {
Intent intent = new Intent(this, CaptureActivity.class);
startActivityForResult(intent, 0);
}
2.扫描结束后回调
@Override
protected void onActivityResult(int requestCode, int resultCode, Intent data) {
if (requestCode == 0) {
if (resultCode == RESULT_OK) {
Bundle bundle = data.getExtras();
if (bundle != null) {
String result = bundle.getString("result");
Intent intent = new Intent();
intent.setAction("android.intent.action.VIEW");
intent.setData(Uri.parse(result.toString()));
startActivity(intent);
}
}
}
}
3.在CaptureActivity中handleDedcode()方法中“result”作为key，二维码解析结果作为值传入
常见问题:
-
取景框太小
在camera包下的CameraManager类中修改取景框大小
这几值就是更改取景框大小的常量
如果效果不明显，则将原本计算height和width的代码注释，添加以下代码：
DisplayMetrics dm = context.getResources().getDisplayMetrics();
int width = (int)(dm.widthPixels * 0.6);
int height = (int)(width * 0.9);
-
二维码拉伸变形
针对于扫描时，二维码拉伸变形的问题，是因为zxing默认是针对横屏扫描的；
此时我们需要找到CameraConfigurationManager类
修改 CameraConfigurationManager类的 initFromCameraParameters(Camera camera)方法
在Log.d(TAG, "Screen resolution: " + screenResolution);这句之后增加以下代码：
Point screenResolutionForCamera = new Point();
screenResolutionForCamera.x = screenResolution.x;
screenResolutionForCamera.y = screenResolution.y;
// preview size is always something like 480*320, other 320*480
if (screenResolution.x < screenResolution.y) {
screenResolutionForCamera.x = screenResolution.y;
screenResolutionForCamera.y = screenResolution.x;
}
把cameraResolution = getCameraResolution(parameters, screenResolution);
中的screenResolution改为 screenResolutionForCamera如下:
cameraResolution = getCameraResolution(parameters, screenResolutionForCamera);
-
近距离扫描二维码扫描不出
找到CameraConfigurationManager类的setDesiredCameraParameters（Camera camera）方法，将其中的代码注释，然后添加如下代码：
Camera.Parameters parameters = camera.getParameters();
List<Camera.Size> supportedPreviewSizes = parameters.getSupportedPreviewSizes();
int position =0;
if(supportedPreviewSizes.size()>2){
position=supportedPreviewSizes.size()/2+1;//supportedPreviewSizes.get();
}else {
position=supportedPreviewSizes.size()/2;
}
int width = supportedPreviewSizes.get(position).width;
int height = supportedPreviewSizes.get(position).height;
Log.d(TAG, "Setting preview size: " + cameraResolution);
camera.setDisplayOrientation(90);
cameraResolution.x=width;
cameraResolution.y=height;
parameters.setPreviewSize(width,height);
setFlash(parameters);
二，开源项目：
ZXing的项目是非常庞大的，功能也非常多，用于Android项目时需要抽取出核心的功能，并且可能会出现很多问题。
所以https://github.com/xuyisheng/ZXingLib的作者提供一个基于ZXing3.1封装好的最新的ZXing Lib：
优点：解决 横竖屏、扫描框扭曲变形问题，同时提供了编码、解码方法，并且将扫码界面抽取成XML，方便拓展。
1.然后在此基础上添加从相册选取二维码的功能 zXingDemo：
- 首先在CaptureActivity（扫描界面）添加一下代码：
public void byAlbum(View view) {
Intent intent = new Intent(Intent.ACTION_GET_CONTENT);
intent.addCategory(Intent.CATEGORY_OPENABLE);
intent.setType("image/*");
startActivityForResult(intent, REQUEST_IMAGE);
}
@Override
protected void onActivityResult(int requestCode, int resultCode, Intent data) {
super.onActivityResult(requestCode, resultCode, data);
if (requestCode == REQUEST_IMAGE) {
if (data != null) {
Uri uri = data.getData();
ContentResolver cr = getContentResolver();
try {
//根据uri得到bitmap
Bitmap mBitmap = MediaStore.Images.Media.getBitmap(cr, uri);
//对bitmap进行二次采样，压缩，避免OOM异常
Bitmap bitmap = getBitmap(mBitmap);
//解析图片
CodeUtils.analyzeBitmap(bitmap, new CodeUtils.AnalyzeCallback() {
@Override
public void onAnalyzeSuccess(Bitmap mBitmap, String result) {
// Toast.makeText(CaptureActivity.this, "解析二维码成功", Toast.LENGTH_LONG).show();
Intent intent = new Intent();
intent.putExtra(CodeUtils.RESULT_TYPE, CodeUtils.RESULT_SUCCESS);
intent.putExtra(CodeUtils.RESULT_STRING, result);
setResult(0, intent);
CaptureActivity.this.finish();
}
@Override
public void onAnalyzeFailed() {
Toast.makeText(CaptureActivity.this, "解析二维码失败", Toast.LENGTH_LONG).show();
}
});
if (mBitmap != null) {
mBitmap.recycle();
}
if (bitmap != null) {
bitmap.recycle();
}
if (mStream != null) {
mStream.close();
}
} catch (Exception e) {
e.printStackTrace();
}
}
}
}
/**
* bitmap 二次采样，压缩
*/
public Bitmap getBitmap(Bitmap bitmap) {
mStream = new ByteArrayOutputStream();
bitmap.compress(Bitmap.CompressFormat.PNG, 40, mStream);
byte[] bytes = mStream.toByteArray();
BitmapFactory.Options options = new BitmapFactory.Options();
options.inJustDecodeBounds = true; // 先获取原大小
Bitmap mBitmap = BitmapFactory.decodeByteArray(bytes, 0, bytes.length, options);
int oldw = options.outWidth;
int oldh = options.outHeight;
int ratiow = oldw / 300;
int ratioh = oldh / 300;
options.inSampleSize = ratiow < ratioh ? ratiow : ratioh;
options.inPreferredConfig = Bitmap.Config.RGB_565;
options.inJustDecodeBounds = false; // 获取新的大小
mBitmap = BitmapFactory.decodeByteArray(bytes, 0, bytes.length, options);
return mBitmap;
}
- 创建CodeUtils二维码扫描工具类
// 二维码扫描工具类
public class CodeUtils {
public static final String RESULT_TYPE = "result_type";
public static final String RESULT_STRING = "result_string";
public static final int RESULT_SUCCESS = 1;
public static final int RESULT_FAILED = 2;
/**
* 解析二维码图片
* @param analyzeCallback
*/
public static void analyzeBitmap(Bitmap mBitmap, AnalyzeCallback analyzeCallback) {
MultiFormatReader multiFormatReader = new MultiFormatReader();
// 解码的参数
Hashtable<DecodeHintType, Object> hints = new Hashtable<DecodeHintType, Object>(2);
// 可以解析的编码类型
Vector<BarcodeFormat> decodeFormats = new Vector<BarcodeFormat>();
if (decodeFormats == null || decodeFormats.isEmpty()) {
decodeFormats = new Vector<BarcodeFormat>();
// 这里设置可扫描的类型，我这里选择了都支持
decodeFormats.addAll(DecodeFormatManager.ONE_D_FORMATS);
decodeFormats.addAll(DecodeFormatManager.QR_CODE_FORMATS);
decodeFormats.addAll(DecodeFormatManager.INDUSTRIAL_FORMATS);
}
hints.put(DecodeHintType.POSSIBLE_FORMATS, decodeFormats);
// 设置继续的字符编码格式为UTF8
// hints.put(DecodeHintType.CHARACTER_SET, "UTF8");
// 设置解析配置参数
multiFormatReader.setHints(hints);
// 开始对图像资源解码
Result rawResult = null;
try {
rawResult = multiFormatReader.decodeWithState(new BinaryBitmap(new HybridBinarizer(new BitmapLuminanceSource(mBitmap))));
} catch (Exception e) {
e.printStackTrace();
}
if (rawResult != null) {
if (analyzeCallback != null) {
analyzeCallback.onAnalyzeSuccess(mBitmap, rawResult.getText());
}
} else {
if (analyzeCallback != null) {
analyzeCallback.onAnalyzeFailed();
}
}
}
private static Bitmap getScaleLogo(Bitmap logo, int w, int h){
if(logo == null)return null;
Matrix matrix = new Matrix();
float scaleFactor = Math.min(w * 1.0f / 5 / logo.getWidth(), h * 1.0f / 5 /logo.getHeight());
matrix.postScale(scaleFactor,scaleFactor);
Bitmap result = Bitmap.createBitmap(logo, 0, 0, logo.getWidth(), logo.getHeight(), matrix, true);
return result;
}
/**
* 解析二维码结果
*/
public interface AnalyzeCallback{
public void onAnalyzeSuccess(Bitmap mBitmap, String result);
public void onAnalyzeFailed();
}
}
- 创建Bitmap解析类
//自定义解析Bitmap LuminanceSource
public class BitmapLuminanceSource extends LuminanceSource {
private byte bitmapPixels[];
public BitmapLuminanceSource(Bitmap bitmap) {
super(bitmap.getWidth(), bitmap.getHeight());
// 首先，要取得该图片的像素数组内容
int[] data = new int[bitmap.getWidth() * bitmap.getHeight()];
this.bitmapPixels = new byte[bitmap.getWidth() * bitmap.getHeight()];
bitmap.getPixels(data, 0, getWidth(), 0, 0, getWidth(), getHeight());
// 将int数组转换为byte数组，也就是取像素值中蓝色值部分作为辨析内容
for (int i = 0; i < data.length; i++) {
this.bitmapPixels[i] = (byte) data[i];
}
}
@Override
public byte[] getMatrix() {
// 返回我们生成好的像素数据
return bitmapPixels;
}
@Override
public byte[] getRow(int y, byte[] row) {
// 这里要得到指定行的像素数据
System.arraycopy(bitmapPixels, y * getWidth(), row, 0, getWidth());
return row;
}
}
