public void RunOCR(Bitmap inputImage)
{
inputImagePV.Image = inputImage;
Bitmap removeBorderImage = BorderRemoval.RemoveBorder(inputImage);
removeBorderPV.Image = removeBorderImage;
Bitmap removeNoiseImage = NoiseCleaner.RemoveNoiseWithBorder(removeBorderImage);
noiseRemovalPV.Image = removeNoiseImage;
Bitmap croppedImage = WhitespaceCropper.CropWhitespace(removeNoiseImage);
croppedPV.Image = croppedImage;
if (EmptyImageDetector.IsImageEmpty(croppedImage))
{
recognizedGradeLabel.Text = "0";
recognitionConfidenceLabel.Text = "empty";
}
else
{
Bitmap digestImage = DigestExtractor.ExtractDigestImage(croppedImage);
digestPV.Image = digestImage;
GradeDigest digest = GradeDigest.FromImage(digestImage);
RecognitionResult recognitionResult = GradeOCR.Program.RecognizeGrade(digest);
recognizedGradeLabel.Text = recognitionResult.Grade.ToString();
recognitionConfidenceLabel.Text = recognitionResult.Confident ? "sure" : "unsure";
}
}
public static Bitmap NormalizeImage(Bitmap img)
{
return
(DigestExtractor.ExtractDigestImage(
WhitespaceCropper.CropWhitespace(
NoiseCleaner.RemoveNoiseWithBorder(
BorderRemoval.RemoveBorder(img)))));
}
public static Option <GradeDigest> GetGradeDigest(Bitmap img)
{
Bitmap croppedImage =
WhitespaceCropper.CropWhitespace(
NoiseCleaner.RemoveNoiseWithBorder(
BorderRemoval.RemoveBorder(img)));
if (EmptyImageDetector.IsImageEmpty(croppedImage))
{
return(new None <GradeDigest>());
}
else
{
return(new Some <GradeDigest>(
GradeDigest.FromImage(
DigestExtractor.ExtractDigestImage(croppedImage))));
}
}
