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tess-两个OCR无法正确解码

[英]tess-two OCR not decoding correctly

I have followed the tutorials to get Tesseract and specifically tess-two and eyes-two installed and a part of my Android app. 我已经按照教程安装了Tesseract,特别是安装了tess-two和eyes-two和我的Android应用程序的一部分。

It runs, but the OCR text that is returned from baseApi.getUTF8Text(); 它运行,但是从baseApi.getUTF8Text();返回的OCR文本baseApi.getUTF8Text(); is complete gibberish. 是完全乱码。

BitmapFactory.Options options = new BitmapFactory.Options();
        options.inSampleSize = 4;
        Bitmap bmp = BitmapFactory.decodeFile(path , options);
        receipt.setImageBitmap(bmp);

        try {
            ExifInterface exif = new ExifInterface(path);
            int exifOrientation = exif.getAttributeInt(ExifInterface.TAG_ORIENTATION , ExifInterface.ORIENTATION_NORMAL);
            int rotate = 0;
            switch (exifOrientation) {
                case ExifInterface.ORIENTATION_ROTATE_90:    rotate =  90;    break;
                case ExifInterface.ORIENTATION_ROTATE_180:   rotate = 180;    break;
                case ExifInterface.ORIENTATION_ROTATE_270:   rotate = 270;    break;
            }
            if (rotate != 0) {
                int w = bmp.getWidth();
                int h = bmp.getHeight();
                Matrix matrix = new Matrix();
                matrix.preRotate(rotate);
                bmp = Bitmap.createBitmap(bmp, 0, 0, w, h, matrix, false);
            }

            bmp = bmp.copy(Bitmap.Config.ARGB_8888, true);


            TessBaseAPI baseApi = new TessBaseAPI();
            baseApi.init(DATA_PATH , "eng");
            baseApi.setImage(bmp);
            String OCRText = baseApi.getUTF8Text();
            baseApi.end();

            Log.i("OCR Text", "rotate  " + rotate);
            Log.i("OCR Text", "OCR   ");
            Log.i("OCR Text",  OCRText);
            Log.i("OCR Text", "=======================================================================================");

Photographing a check which has OCR characters returns 拍摄具有OCR字符的支票会退货

05-14 11:01:59.131: I/OCR Text(18199): rotate  90
05-14 11:01:59.131: I/OCR Text(18199): OCR   
05-14 11:01:59.131: I/OCR Text(18199): 4— ‘ ‘
05-14 11:01:59.131: I/OCR Text(18199): \Dxfi ‘
05-14 11:01:59.131: I/OCR Text(18199): I W man"! no Accounv
05-14 11:01:59.131: I/OCR Text(18199): 1’
05-14 11:01:59.131: I/OCR Text(18199): my... «unblm m. mm.
05-14 11:01:59.131: I/OCR Text(18199): :~A
05-14 11:01:59.131: I/OCR Text(18199): «Ln.
05-14 11:01:59.131: I/OCR Text(18199): ‘ “w “IN. N I “H‘M‘
05-14 11:01:59.131: I/OCR Text(18199): mmnwnmw- .; k. '
05-14 11:01:59.131: I/OCR Text(18199): Wilt-run”. uni” nl
05-14 11:01:59.131: I/OCR Text(18199): mam. I
05-14 11:01:59.131: I/OCR Text(18199): =======================================================================================

Any advice on how to clean up and correct the OCR recognition? 关于如何清理和更正OCR识别的任何建议? device used is a Samsung Galaxy 7". 使用的设备是Samsung Galaxy 7”。

You could use something like 您可以使用类似

OCRText = OCRText.replaceAll("[^a-zA-Z0-9]+", " ");
OCRText = OCRText.trim();

which is based on the a Tesseract implementation I found here: SimpleAndroidOCRActivity.java 它基于我在这里找到的Tesseract实现: SimpleAndroidOCRActivity.java

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