tess-两个OCR无法正确解码
tess-两个OCR无法正确解码
提问于 2015-05-14 23:07:51
我按照教程来安装Tesseract，特别是tess-two和eyes-两个安装和我的Android应用程序的一部分。
它可以运行，但从baseApi.getUTF8Text();返回的OCR文本完全是胡言乱语。
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", "=======================================================================================");拍摄包含OCR字符的支票将返回
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): =======================================================================================对如何清理和纠正OCR识别有什么建议吗？使用的设备是三星Galaxy 7“。
回答 1
Stack Overflow用户
发布于 2015-05-15 01:23:12
您可以使用类似于
OCRText = OCRText.replaceAll("[^a-zA-Z0-9]+", " ");
OCRText = OCRText.trim();它基于我在这里找到的一个Tesseract实现：SimpleAndroidOCRActivity.java
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/30240780
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