Android 解析二维码图片

1.项目需求：知道项目需求，才知道先从哪里入手，见图一。（点击相册，打开图库）

2.代码：

1.打开图库代码：

mBtnOpenPicture.setOnClickListener(new View.OnClickListener() {@Overridepublic void onClick(View v) {//打开相册openGallery();}});/**打开相册*/
private void openGallery() {Intent picture = new Intent(Intent.ACTION_PICK,   android.provider.MediaStore.Images.Media.EXTERNAL_CONTENT_URI);startActivityForResult(picture, PICTURE);}

2.获取图片路径和解析。

（1）. 获取图片路径：getPath(uri);由于Android版本不同，返回的uri会有所不同，需要做特殊处理。

@SuppressLint("NewApi")private String getPath(Uri uri) {int sdkVersion = Build.VERSION.SDK_INT;if (sdkVersion >= 19) {//Log.e("hxy", "uri auth: " + uri.getAuthority());if (isExternalStorageDocument(uri)) {String docId = DocumentsContract.getDocumentId(uri);String[] split = docId.split(":");String type = split[0];if ("primary".equalsIgnoreCase(type)) {return Environment.getExternalStorageDirectory() + "/" + split[1];}} else if (isDownloadsDocument(uri)) {final String id = DocumentsContract.getDocumentId(uri);final Uri contentUri = ContentUris.withAppendedId(Uri.parse("content://downloads/public_downloads"),Long.valueOf(id));return getDataColumn(this, contentUri, null, null);} else if (isMediaDocument(uri)) {final String docId = DocumentsContract.getDocumentId(uri);final String[] split = docId.split(":");final String type = split[0];Uri contentUri = null;if ("image".equals(type)) {contentUri = MediaStore.Images.Media.EXTERNAL_CONTENT_URI;} else if ("video".equals(type)) {contentUri = MediaStore.Video.Media.EXTERNAL_CONTENT_URI;} else if ("audio".equals(type)) {contentUri = MediaStore.Audio.Media.EXTERNAL_CONTENT_URI;}final String selection = "_id=?";final String[] selectionArgs = new String[]{split[1]};return getDataColumn(this, contentUri, selection, selectionArgs);} else if (isMedia(uri)) {String[] proj = {MediaStore.Images.Media.DATA};Cursor actualimagecursor = this.managedQuery(uri, proj, null, null, null);int actual_image_column_index = actualimagecursor.getColumnIndexOrThrow(MediaStore.Images.Media.DATA);actualimagecursor.moveToFirst();return actualimagecursor.getString(actual_image_column_index);}} else if ("content".equalsIgnoreCase(uri.getScheme())) {if (isGooglePhotosUri(uri))return uri.getLastPathSegment();return getDataColumn(this, uri, null, null);}// Fileelse if ("file".equalsIgnoreCase(uri.getScheme())) {return uri.getPath();}return null;}public static String getDataColumn(Context context, Uri uri,String selection, String[] selectionArgs) {Cursor cursor = null;final String column = "_data";final String[] projection = { column };try {cursor = context.getContentResolver().query(uri, projection,selection, selectionArgs, null);if (cursor != null && cursor.moveToFirst()) {final int column_index = cursor.getColumnIndexOrThrow(column);return cursor.getString(column_index);}} finally {if (cursor != null)cursor.close();}return null;}private static boolean isExternalStorageDocument(Uri uri) {return "com.android.externalstorage.documents".equals(uri.getAuthority());}public static boolean isDownloadsDocument(Uri uri) {return "com.android.providers.downloads.documents".equals(uri.getAuthority());}public static boolean isMediaDocument(Uri uri) {return "com.android.providers.media.documents".equals(uri.getAuthority());}public static boolean isMedia(Uri uri) {return "media".equals(uri.getAuthority());}public static boolean isGooglePhotosUri(Uri uri) {return "com.google.android.apps.photos.content".equals(uri.getAuthority());}

（2）.开辟线程，解析图片，封装到Result中：我看了网上的demo,大致上有2种方法。如下是第一种，稍后会把第二种方法也贴出来。

/*** 解析二维码图片* @param path* @return*/protected Result scanningImage(String path) {if (TextUtils.isEmpty(path)) {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BitmapFactory.Options options = new BitmapFactory.Options();options.inJustDecodeBounds = true; // 先获取原大小scanBitmap = BitmapFactory.decodeFile(path,options);options.inJustDecodeBounds = false;int sampleSize = (int) (options.outHeight / (float) 200);if (sampleSize <= 0)sampleSize = 1;options.inSampleSize = sampleSize;scanBitmap = BitmapFactory.decodeFile(path, options);int[] data = new int[scanBitmap.getWidth() * scanBitmap.getHeight()];scanBitmap.getPixels(data, 0, scanBitmap.getWidth(), 0, 0, scanBitmap.getWidth(), scanBitmap.getHeight());RGBLuminanceSource rgbLuminanceSource = new RGBLuminanceSource(scanBitmap.getWidth(),scanBitmap.getHeight(),data);BinaryBitmap binaryBitmap = new BinaryBitmap(new HybridBinarizer(rgbLuminanceSource));QRCodeReader reader = new QRCodeReader();Result result = null;try {result = reader.decode(binaryBitmap, hints);} catch (NotFoundException e) {Log.e("hxy","NotFoundException");}catch (ChecksumException e){Log.e("hxy","ChecksumException");}catch(FormatException e){Log.e("hxy","FormatException");}return result;}

注意：上面方法中有个关键的类，RGBLuminanceSource。我把这个类的构造方法贴出来，因为我做的时候，发现网上demo 这个类中构造传递的都是Bitmap, 而我这个类却不是。分析传递的参数之后，我做了个转化：见如下，然后会发现报：NotFoundException. 这个异常是在QRCodeReader类：private static BitMatrix extractPureBits(BitMatrix image) throws NotFoundException 。（到这里我已经不是很懂了，然后又去网上搜索了下，最后自己探索出加scanBitmap.getPixels(data, 0, scanBitmap.getWidth(), 0, 0, scanBitmap.getWidth(), scanBitmap.getHeight());），运行正常，能解析出来。

int[] data = new int[scanBitmap.getWidth() * scanBitmap.getHeight()];
//一定要加以下这个代码：
//scanBitmap.getPixels(data, 0, scanBitmap.getWidth(), 0, 0, scanBitmap.getWidth(), //scanBitmap.getHeight());
RGBLuminanceSource rgbLuminanceSource = new RGBLuminanceSource(scanBitmap.getWidth(),scanBitmap.getHeight(),data);

public RGBLuminanceSource(int width, int height, int[] pixels) {super(width, height);this.dataWidth = width;this.dataHeight = height;this.left = 0;this.top = 0;this.luminances = new byte[width * height];for(int y = 0; y < height; ++y) {int offset = y * width;for(int x = 0; x < width; ++x) {int pixel = pixels[offset + x];int r = pixel >> 16 & 255;int g = pixel >> 8 & 255;int b = pixel & 255;if(r == g && g == b) {this.luminances[offset + x] = (byte)r;} else {this.luminances[offset + x] = (byte)((r + 2 * g + b) / 4);}}}}

现在来看第二种解析方法：

protected Result scanningImage(String path) {if (TextUtils.isEmpty(path)) {return null;}BitmapFactory.Options options = new BitmapFactory.Options();options.inJustDecodeBounds = true; // 先获取原大小scanBitmap = BitmapFactory.decodeFile(path,options);options.inJustDecodeBounds = false;int sampleSize = (int) (options.outHeight / (float) 200);if (sampleSize <= 0)sampleSize = 1;options.inSampleSize = sampleSize;scanBitmap = BitmapFactory.decodeFile(path, options);byte[] data = getYUV420sp(scanBitmap.getWidth(), scanBitmap.getHeight(), scanBitmap);Hashtable<DecodeHintType, Object> hints = new Hashtable();hints.put(DecodeHintType.CHARACTER_SET, "UTF-8"); // 设置二维码内容的编码hints.put(DecodeHintType.TRY_HARDER,Boolean.TRUE);hints.put(DecodeHintType.POSSIBLE_FORMATS, BarcodeFormat.QR_CODE);PlanarYUVLuminanceSource source = new PlanarYUVLuminanceSource(data,scanBitmap.getWidth(),scanBitmap.getHeight(),0, 0,scanBitmap.getWidth(),scanBitmap.getHeight(),false);BinaryBitmap bitmap1 = new BinaryBitmap(new HybridBinarizer(source));QRCodeReader reader2= new QRCodeReader();Result result = null;try {result = reader2.decode(bitmap1, hints);Log.e("hxy",result.getText());} catch (NotFoundException e) {Log.e("hxy","NotFoundException");}catch (ChecksumException e){Log.e("hxy","ChecksumException");}catch(FormatException e){Log.e("hxy","FormatException");}return result;}public  byte[] getYUV420sp(int inputWidth, int inputHeight,Bitmap scaled) {int[] argb = new int[inputWidth * inputHeight];scaled.getPixels(argb, 0, inputWidth, 0, 0, inputWidth, inputHeight);byte[] yuv = new byte[inputWidth * inputHeight * 3 / 2];encodeYUV420SP(yuv, argb, inputWidth, inputHeight);scaled.recycle();return yuv;}private void encodeYUV420SP(byte[] yuv420sp, int[] argb, int width,int height) {// 帧图片的像素大小final int frameSize = width * height;// ---YUV数据---int Y, U, V;// Y的index从0开始int yIndex = 0;// UV的index从frameSize开始int uvIndex = frameSize;// ---颜色数据---
// int a, R, G, B;int R, G, B;//int argbIndex = 0;//// ---循环所有像素点，RGB转YUV---for (int j = 0; j < height; j++) {for (int i = 0; i < width; i++) {// a is not used obviously
// a = (argb[argbIndex] & 0xff000000) >> 24;R = (argb[argbIndex] & 0xff0000) >> 16;G = (argb[argbIndex] & 0xff00) >> 8;B = (argb[argbIndex] & 0xff);//argbIndex++;// well known RGB to YUV algorithmY = ((66 * R + 129 * G + 25 * B + 128) >> 8) + 16;U = ((-38 * R - 74 * G + 112 * B + 128) >> 8) + 128;V = ((112 * R - 94 * G - 18 * B + 128) >> 8) + 128;//Y = Math.max(0, Math.min(Y, 255));U = Math.max(0, Math.min(U, 255));V = Math.max(0, Math.min(V, 255));// NV21 has a plane of Y and interleaved planes of VU each// sampled by a factor of 2// meaning for every 4 Y pixels there are 1 V and 1 U. Note the// sampling is every other// pixel AND every other scanline.// ---Y---yuv420sp[yIndex++] = (byte) Y;// ---UV---
// if ((j % 2 == 0) && (i % 2 == 0)) {
//
//
//
// yuv420sp[uvIndex++] = (byte) V;
//
// yuv420sp[uvIndex++] = (byte) U;
// }}}}

最后2行代码在实际运行的时候，如果是拿一个二维码图片，能正常解析，但是如果不是二维码图片，数组越界。然后我将其注释掉之后，一切正常了。在这里的转化，我没有看懂，只是提供一种解析方案，期待对这方面了解之人能我和探讨。

3.将解析结果回调给调用Activity.：

@Overrideprotected void onActivityResult(int requestCode, int resultCode, Intent data) {if(resultCode==RESULT_OK&&data != null&&requestCode == PICTURE){Uri selectedImage = data.getData();final String pathResult = getPath(selectedImage);Log.e("hxy","pathResult:"+pathResult);new Thread(new Runnable() {@Overridepublic void run() {Result result = scanningImage(pathResult);if(result==null){Looper.prepare();Toast.makeText(CaptureActivity.this, "未识别到二维码",Toast.LENGTH_LONG).show();Looper.loop();}else{handleDecode(result,new Bundle());
// String recode = recode(result.toString());
// Log.e("hxy","recode:"+recode);
// Intent data = new Intent();
// data.putExtra("result", recode);
// setResult(300, data);//finish();}}}).start();}}

在这里调用handleDecode。是由于CaptureActivity中，将结果就是通过handleDecode回调的

/*** A valid barcode has been found, so give an indication of success and show* the results.* * @param rawResult* The contents of the barcode.* * @param bundle* The extras*/public void handleDecode(Result rawResult, Bundle bundle) {inactivityTimer.onActivity();beepManager.playBeepSoundAndVibrate();bundle.putInt("width", mCropRect.width());bundle.putInt("height", mCropRect.height());bundle.putString("result", rawResult.getText());// startActivity(new Intent(CaptureActivity.this, ResultActivity.class).putExtras(bundle));setResult(RESULT_OK, new Intent().putExtras(bundle));
// Toast.makeText(this, rawResult.getText(), Toast.LENGTH_LONG);finish();}

Android 解析二维码图片相关推荐

python 解析二维码图片
python 解析二维码图片 from pyzbar.pyzbar import decode from PIL import Imageimg = Image.open("d:/发票.jp ...
android 分享二维码图片到微信QQ（url地址字符串生成二维码图片、分享二维码图片到微信QQ）
主要用到的功能 1.url地址字符串生成二维码图片 2.分享二维码图片到微信QQ 所需的依赖包 implementation 'com.google.zxing:core:3.0.1' 代码 1.将U ...
android 拍摄二维码图片变形矫正_鼻中隔先天偏曲矫正特殊案例——我为何给她做了两次手术...
今天很特殊,分享个我主刀做了俩次鼻子手术的案例,19年年底我主刀的"假体+耳软骨"隆鼻案例,2020年8月还是由我主刀了她的修复手术.是我的技术问题才导致修复吗?并不是的,犹记得去 ...
Android超方便集成 Zxing实现扫一扫，闪光灯，生成二维码图片，解析二维码（条码）等功能
之前我写过一篇博客是关于如何将zxing集成到Android Studio中,以及简单的实现扫一扫功能. 详情请看:Android Studio集成Zxing扫一扫但是,上面那篇博客只有有一个扫一扫 ...
Zxing图片识别从相册选二维码图片解析总结
Zxing图片识别从相册选取二维码图片进行解析总结在Zxing扫描识别和图片识别的解析对象是相同的本文分三个步骤: 1 获取相册的照片 2 解析二维码图片 3 返回结果 1) 获取相册照片 go ...
android 生成二维码_Java 生成二维码实战
简介 ZXing 是一个开源 Java 类库用于解析多种格式的 1D/2D 条形码.目标是能够对QR编码.Data Matrix.UPC的1D条形码进行解码.其提供了多种平台下的客户端包括:J2ME. ...
Java利用Zxing生成二维码及解析二维码内容
前言 Java 操作二维码的开源项目很多,如 SwetakeQRCode.BarCode4j.Zxing 等等本篇文章是介绍利用Zxing来生成二维码图片在web网页上展示,同时解析二维码图片. Z ...
java 生成二维码，解析二维码
今天遇到需求,使用Java生成二维码图片,网搜之后,大神们早就做过,个人总结一下. 目标:借助Google提供的ZXing Core工具包,使用Java语言实现二维码的生成和解析. 步骤如下: 1.m ...
js 将微信二维码转为url，qrcodeJs解析二维码，qrcode.decode is not a function报错
前言工作中遇到的需求:用户上传相册中选中的图片,判断这个图片里的二维码是不是微信二维码,如果是则上传到服务器:不是,则提示用户重新上传. 百度了下,qrcode.js是一个用于生成二维码的 Java ...

Android 解析二维码图片

Android 解析二维码图片相关推荐

最新文章

热门文章