public static void Recognize()
{
int n_images = Workspace.Images.Length;
int i_image = n_images - 1;
i_image = 0;
string fileName = Workspace.Images[i_image];
string imageFile = Path.Combine(Workspace.InputFolder, fileName);
string language = "eng";
int oem = 3;
TesseractProcessor processor = new TesseractProcessor();
using (Bitmap bmp = Bitmap.FromFile(imageFile) as Bitmap)
{
GreyImage greyImage = GreyImage.FromImage(bmp);
DateTime started = DateTime.Now;
AdaptiveThresholder thresholder = new AdaptiveThresholder();
BinaryImage binImage = thresholder.Threshold(greyImage);
DateTime ended = DateTime.Now;
Console.WriteLine("Duration thresholding: {0} ms", (ended - started).TotalMilliseconds);
binImage.Invert();
//for (int i = 0; i < 4; i++)
for (int i = 3; i < 4; i++)
{
oem = i;
oem = (int)eOcrEngineMode.OEM_TESSERACT_CUBE_COMBINED;
processor.Init(Workspace.TessdataFolder, language, oem);
string text = "";
unsafe
{
started = DateTime.Now;
//string text = processor.Recognize(bmp);
text = processor.RecognizeBinaryImage(
binImage.BinaryData, binImage.Width, binImage.Height);
ended = DateTime.Now;
Console.WriteLine("Duration recognition: {0} ms\n\n", (ended - started).TotalMilliseconds);
}
Console.WriteLine(
string.Format("RecognizeMode: {1}\nText:\n{0}\n++++++++++++++++++++++++++++++++\n", text, ((eOcrEngineMode)oem).ToString()));
}
}
}
