private void TextRecogniser(Image image)
{
Emgu.CV.OCR.Tesseract tesseract = new Emgu.CV.OCR.Tesseract
(@"F:\Working Pack\c#\Scripter\Scripter\Templates\eng.traineddata", "eng",
OcrEngineMode.TesseractLstmCombined);
var tempImg = new Bitmap(image).ToImage <Gray, byte>();
tesseract.SetImage(tempImg);
tesseract.Recognize();
string response = tesseract.GetUTF8Text();
tesseract.Dispose();
}
private int recognizeSpeed(Rectangle rec, Image <Gray, byte> processedFrameSt)
{
Rectangle roi = new Rectangle(new Point(rec.Location.X, rec.Location.Y - 2), new Size(20, 14));
var imPart = processedFrameSt;
imPart.ROI = roi;
imPart = imPart.Copy();
//imPart = imPart.SmoothGaussian(1);
string tempDist = "";
if (tess != null)
{
tess.SetImage(imPart);
tess.Recognize();
noFiltDist = tess.GetUTF8Text();
for (int i = 0; i < noFiltDist.Length; i++)
{
if ((int)noFiltDist[i] > 47 && (int)noFiltDist[i] < 58)
{
tempDist += noFiltDist[i];
}
}
}
else
{
return(-666);
}
if (tempDist.Length >= 2)
{
if (distLess100)
{
tempDist = tempDist.Substring(0, 2);
}
filtDist = Convert.ToInt32(tempDist);
}
else
{
filtDist = -1;
}
return(filtDist);
}
/// <summary>
/// Tesseract OCR
/// </summary>
/// <param name="filteredPlate"></param>
/// <returns></returns>
private StringBuilder TesseractOCR(UMat filteredPlate)
{
Emgu.CV.OCR.Tesseract.Character[] words;
StringBuilder strBuilder = new StringBuilder();
using (UMat tmp = filteredPlate.Clone())
{
_ocr.SetImage(tmp);
_ocr.Recognize();
strBuilder.Append(_ocr.GetUTF8Text());
words = _ocr.GetCharacters();
//if (words.Length == 0) continue;
//for (int i = 0; i < words.Length; i++)
//{
// strBuilder.Append(words[i].Text);
//}
}
return(strBuilder);
}
public List <string> ConvertImage(Bitmap image)
{
_tesseract.SetImage(new Image <Bgr, byte>(image));
_tesseract.Recognize();
return(_tesseract.GetLinesOfText());
}
public Receipt ConvertImage(Bitmap image)
{
_tesseract.SetImage(new Image <Bgr, byte> (image));
_tesseract.Recognize();
return(_tesseract.GetReceipt());
}