private string recognizeLetter(BufferedImage image)
{
// samo za test
// OCRUtilities.saveToFile(image, "C:\\Users\\Mihailo\\Desktop\\OCR\\test-letters", new Random().nextInt()+"", "png");
//
IDictionary <string, double?> output = plugin.recognizeImage(image);
return(OCRUtilities.getCharacter(output));
}
//JAVA TO C# CONVERTER WARNING: Method 'throws' clauses are not available in .NET:
//ORIGINAL LINE: public static void main(String[] args) throws java.io.IOException
public static void Main(string[] args)
{
// User input parameters
//***********************************************************************************************************************************
string networkPath = "C:/Users/Mihailo/Desktop/OCR/nnet/nnet-12-0.01.nnet"; // path to the trained network *
string letterPath = "C:/Users/Mihailo/Desktop/OCR/letters/259.png"; // path to the letter for recognition *
//***********************************************************************************************************************************
NeuralNetwork nnet = NeuralNetwork.createFromFile(networkPath);
ImageRecognitionPlugin imageRecognition = (ImageRecognitionPlugin)nnet.getPlugin(typeof(ImageRecognitionPlugin));
IDictionary <string, double?> output = imageRecognition.recognizeImage(new File(letterPath));
Console.WriteLine("Recognized letter: " + OCRUtilities.getCharacter(output));
}
public String IdentifyDocumentType(String physicalPath)
{
OCRUtilities ocrUtil = new OCRUtilities();
return(IndexOfDocumentTypeFromTemplates((ocrUtil.GetPDFPageContent(physicalPath, new List <int>()))[0]));
}
private void createImagesWithLetters()
{
int cropWidth = letterInformation.CropWidth;
int cropHeight = letterInformation.CropHeight;
int tmpWidth = 3 * cropWidth;
int tmpHeight = 3 * cropHeight;
int trashSize = letterInformation.TrashSize;
OCRExtractLetter extractionLetter = new OCRExtractLetter(tmpWidth, tmpHeight, trashSize);
int letterSize = letterInformation.LetterSize;
int imageHeight = image.Height;
int imageWidth = image.Width;
//JAVA TO C# CONVERTER NOTE: The following call to the 'RectangularArrays' helper class reproduces the rectangular array initialization that is automatic in Java:
//ORIGINAL LINE: bool[][] visited = new bool[imageHeight][imageWidth];
bool[][] visited = RectangularArrays.ReturnRectangularBoolArray(imageHeight, imageWidth);
Color white = Color.WHITE;
Color color;
int seqNum = 0;
for (int line = 0; line < textInformation.numberOfRows(); line++)
{
//==============================================================================
for (int j = 0; j < imageWidth; j++)
{
for (int k = -(letterSize / 4); k < (letterSize / 4); k++)
{
int rowPixel = textInformation.getRowAt(line);
int i = rowPixel + k;
if (i < 0 || i >= imageHeight)
{
continue;
}
//==============================================================================
// fornja verzija radi, ova ima gresku
// for (int k = -(letterSize / 4); k < (letterSize / 4); k++) {
// int rowPixel = textInformation.getRowAt(line);
// int i = rowPixel + k;
// if (i < 0 || i >= imageHeight) {
// continue;
// }
// for (int j = 0; j < imageWidth; j++) {
//==============================================================================
color = new Color(image.getRGB(j, i));
if (color.Equals(white))
{
visited[i][j] = true;
}
else if (visited[i][j] == false)
{
BufferedImage letter = extractionLetter.extraxtLetter(image, visited, i, j); // OCRUtilities.extraxtCharacterImage(image, visited, i, j, tmpWidth, tmpHeight, letterInformation.getTrashSize());
if (letter != null)
{
OCRCropLetter crop = new OCRCropLetter(letter, cropWidth, cropHeight);
BufferedImage croped = crop.processImage();
string character = trainingText[seqNum] + "";
string name = character + "_" + seqNum;
OCRUtilities.saveToFile(croped, folderPath, name, imageExtension);
seqNum++;
}
}
}
}
}
}