Android OCR: unable to resolve error for getBoundingBox

I am a student and a newbie in the field of Android development and must fulfill the OCR function for Android for the contact management application for my school project. This is for converting images to text from name cards.

I searched a lot of forums for information on this and found some good examples of this.

Currently, I have found open source code on the Internet that does not require the configuration of ndk and environment variables, etc. for settings. However, when I implemented it in eclipse (juno), there is a small error in which I am not sure how to solve it.

I searched Google for a long time without any results. Therefore, deciding to ask here. Below are the error codes.

    final class OcrRecognizeAsyncTask extends AsyncTask<Void, Void, Boolean> {

  //  private static final boolean PERFORM_FISHER_THRESHOLDING = false; 
  //  private static final boolean PERFORM_OTSU_THRESHOLDING = false; 
  //  private static final boolean PERFORM_SOBEL_THRESHOLDING = false; 

  private CaptureActivity activity;
  private TessBaseAPI baseApi;
  private byte[] data;
  private int width;
  private int height;
  private OcrResult ocrResult;
  private long timeRequired;

  OcrRecognizeAsyncTask(CaptureActivity activity, TessBaseAPI baseApi, byte[] data, int width, int height) {
    this.activity = activity;
    this.baseApi = baseApi;
    this.data = data;
    this.width = width;
    this.height = height;
  }

  @Override
  protected Boolean doInBackground(Void... arg0) {
    long start = System.currentTimeMillis();
    Bitmap bitmap = activity.getCameraManager().buildLuminanceSource(data, width, height).renderCroppedGreyscaleBitmap();
    String textResult;

    //      if (PERFORM_FISHER_THRESHOLDING) {
    //        Pix thresholdedImage = Thresholder.fisherAdaptiveThreshold(ReadFile.readBitmap(bitmap), 48, 48, 0.1F, 2.5F);
    //        Log.e("OcrRecognizeAsyncTask", "thresholding completed. converting to bmp. size:" + bitmap.getWidth() + "x" + bitmap.getHeight());
    //        bitmap = WriteFile.writeBitmap(thresholdedImage);
    //      }
    //      if (PERFORM_OTSU_THRESHOLDING) {
    //        Pix thresholdedImage = Binarize.otsuAdaptiveThreshold(ReadFile.readBitmap(bitmap), 48, 48, 9, 9, 0.1F);
    //        Log.e("OcrRecognizeAsyncTask", "thresholding completed. converting to bmp. size:" + bitmap.getWidth() + "x" + bitmap.getHeight());
    //        bitmap = WriteFile.writeBitmap(thresholdedImage);
    //      }
    //      if (PERFORM_SOBEL_THRESHOLDING) {
    //        Pix thresholdedImage = Thresholder.sobelEdgeThreshold(ReadFile.readBitmap(bitmap), 64);
    //        Log.e("OcrRecognizeAsyncTask", "thresholding completed. converting to bmp. size:" + bitmap.getWidth() + "x" + bitmap.getHeight());
    //        bitmap = WriteFile.writeBitmap(thresholdedImage);
    //      }

    try {     
      baseApi.setImage(ReadFile.readBitmap(bitmap));
      textResult = baseApi.getUTF8Text();
      timeRequired = System.currentTimeMillis() - start;

      // Check for failure to recognize text
      if (textResult == null || textResult.equals("")) {
        return false;
      }
      ocrResult = new OcrResult();
      ocrResult.setWordConfidences(baseApi.wordConfidences());
      ocrResult.setMeanConfidence( baseApi.meanConfidence());
      ocrResult.setRegionBoundingBoxes(baseApi.getRegions().getBoxRects());
      ocrResult.setTextlineBoundingBoxes(baseApi.getTextlines().getBoxRects());
      ocrResult.setWordBoundingBoxes(baseApi.getWords().getBoxRects());
      ocrResult.setStripBoundingBoxes(baseApi.getStrips().getBoxRects());

      // Iterate through the results.
      final ResultIterator iterator = baseApi.getResultIterator();
      int[] lastBoundingBox;
      ArrayList<Rect> charBoxes = new ArrayList<Rect>();
      iterator.begin();
      do {
          lastBoundingBox =iterator.getBoundingBox(PageIteratorLevel.RIL_SYMBOL);
          Rect lastRectBox = new Rect(lastBoundingBox[0], lastBoundingBox[1],
                  lastBoundingBox[2], lastBoundingBox[3]);
          charBoxes.add(lastRectBox);
      } while (iterator.next(PageIteratorLevel.RIL_SYMBOL));
      iterator.delete();
      ocrResult.setCharacterBoundingBoxes(charBoxes);

    } catch (RuntimeException e) {
      Log.e("OcrRecognizeAsyncTask", "Caught RuntimeException in request to Tesseract. Setting state to CONTINUOUS_STOPPED.");
      e.printStackTrace();
      try {
        baseApi.clear();
        activity.stopHandler();
      } catch (NullPointerException e1) {
        // Continue
      }
      return false;
    }
    timeRequired = System.currentTimeMillis() - start;
    ocrResult.setBitmap(bitmap);
    ocrResult.setText(textResult);
    ocrResult.setRecognitionTimeRequired(timeRequired);
    return true;
  }

  @Override
  protected void onPostExecute(Boolean result) {
    super.onPostExecute(result);

    Handler handler = activity.getHandler();
    if (handler != null) {
      // Send results for single-shot mode recognition.
      if (result) {
        Message message = Message.obtain(handler, R.id.ocr_decode_succeeded, ocrResult);
        message.sendToTarget();
      } else {
        Message message = Message.obtain(handler, R.id.ocr_decode_failed, ocrResult);
        message.sendToTarget();
      }
      activity.getProgressDialog().dismiss();
    }
    if (baseApi != null) {
      baseApi.clear();
    }
  }
}

The error is in the do and while loop:

do {
          lastBoundingBox = iterator.***getBoundingBox***(PageIteratorLevel.RIL_SYMBOL);
          Rect lastRectBox = new Rect(lastBoundingBox[0], lastBoundingBox[1],
                  lastBoundingBox[2], lastBoundingBox[3]);
          charBoxes.add(lastRectBox);
      } while (iterator.next(PageIteratorLevel.RIL_SYMBOL));
      iterator.***delete***();
      ocrResult.setCharacterBoundingBoxes(charBoxes);

, , getBoundingBox delete :

" getBoundingBox (int) - undefined ResultIterator"

" getBoundingBox (int) - undefined ResultIterator"

, . - , , , .

+4
1

@SebastianRoth : , , . NDK OCR. , getBoundingBox.

+1

Source: https://habr.com/ru/post/1618835/


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