/// <summary>
/// Recogize the character from the image and returns HashMap with keys as
/// characters and recognition probability as values sorted descending by probability.
/// </summary>
/// <param name="charImage"> character image </param>
/// <returns> HashMap with keys as characters and recognition probability as values </returns>
public virtual Hashtable recognizeCharacterProbabilities(Image charImage)
{
// get the image recognition plugin from neural network
ImageRecognitionPlugin imageRecognition = (ImageRecognitionPlugin)this.ParentNetwork.getPlugin(typeof(ImageRecognitionPlugin));
// image recognition is done here
Dictionary <string, double?> output = imageRecognition.recognizeImage(charImage);
Dictionary <char?, double?> recognized = sortHashMapByValues(output);
return(recognized);
}
/// <summary>
/// Recognizes character from the image and returns character </summary>
/// <param name="charImage"> character image </param>
/// <returns> recognized character </returns>
public virtual char?recognizeCharacter(Image charImage)
{
// get the image recognition plugin from neural network
ImageRecognitionPlugin imageRecognition = (ImageRecognitionPlugin)this.ParentNetwork.getPlugin(typeof(ImageRecognitionPlugin));
Dictionary <string, double?> output = imageRecognition.recognizeImage(charImage);
Dictionary <string, Neuron> n = imageRecognition.MaxOutput;
string ch = n.ToString().Substring(1, 1);
return(Convert.ToChar(ch[0]));
}
//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 static void Main(string[] args)
{
// load trained neural network saved with NeurophStudio (specify existing neural network file here)
NeuralNetwork nnet = NeuralNetwork.createFromFile("MyImageRecognition.nnet");
// get the image recognition plugin from neural network
ImageRecognitionPlugin imageRecognition = (ImageRecognitionPlugin)nnet.getPlugin(typeof(ImageRecognitionPlugin));
try
{
// image recognition is done here
Dictionary <string, double?> output = imageRecognition.recognizeImage(new File("someImage.jpg")); // specify some existing image file here
Console.WriteLine(output.ToString());
}
catch (IOException)
{
Console.WriteLine("Error: could not read file!");
}
catch (VectorSizeMismatchException)
{
Console.WriteLine("Error: Image dimensions dont !");
}
}
