//传入图片进行识别
public static string ORC_(Bitmap img)
{
//""标示OCR识别调用失败
string re = "";
if (img == null)
{
return(re);
}
else
{
Bgr drawColor = new Bgr(Color.Blue);
try
{
Image <Bgr, Byte> image = new Image <Bgr, byte>(img);
using (Image <Gray, byte> gray = image.Convert <Gray, Byte>())
{
_ocr.Recognize();
Tesseract.Character[] charactors = _ocr.GetCharacters();
foreach (Tesseract.Character c in charactors)
{
image.Draw(c.Region, drawColor, 1);
}
re = _ocr.GetBoxText();
}
return(re);
}
catch (Exception ex)
{
return(re);
}
}
}
private string Read(Image <Gray, byte> Img)
{
Image <Gray, byte> Img_resize = Img.Resize(Img.Width / 2, Img.Height / 2, Emgu.CV.CvEnum.Inter.Linear);
string str = string.Empty;
string path = Path.GetDirectoryName(Assembly.GetExecutingAssembly().Location) + "\\";
using (var _ocr = new Tesseract(path, "eng", OcrEngineMode.TesseractOnly))
{
_ocr.SetImage(Img_resize);
_ocr.Recognize();
string s = _ocr.GetBoxText(1);
s = s.Replace("\r", "");
string[] eachChar = s.Split('\n');
List <Rectangle> box = new List <Rectangle>();
for (int i = 0; i < eachChar.Length; i++)
{
if (eachChar[i] == "")
{
continue;
}
string[] chr = eachChar[i].Split(' ');
char ct = Convert.ToChar(chr[0]);
int val = (int)ct;
if ((val >= 0x30 && val <= 0x39) || (val >= 0x41 && val <= 0x5a) || (val >= 0x61 && val <= 0x7a))
{
str += chr[0];
box.Add(new Rectangle(Convert.ToInt32(chr[1]), Convert.ToInt32(chr[2]), Convert.ToInt32(chr[3]) - Convert.ToInt32(chr[1]), Convert.ToInt32(chr[4]) - Convert.ToInt32(chr[2])));
}
}
}
return(str);
}
public void TestOCREngGrayText()
{
using (Tesseract ocr = GetTesseract())
using (Image <Gray, Byte> img = new Image <Gray, byte>(480, 200))
{
ocr.SetVariable("tessedit_char_whitelist", "ABCDEFGHJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz,");
IntPtr oclDevice = new IntPtr();
int deviceId = ocr.GetOpenCLDevice(ref oclDevice);
String message = "Hello, World";
CvInvoke.PutText(img, message, new Point(50, 100), CvEnum.FontFace.HersheySimplex, 1.0, new MCvScalar(255));
//
//ocr.Recognize(img);
using (Image <Gray, Byte> rotatedImg = img.Rotate(10, new Gray(), false))
{
ocr.PageSegMode = PageSegMode.AutoOsd;
ocr.SetImage(rotatedImg);
ocr.Recognize();
using (PageIterator pi = ocr.AnalyseLayout())
{
Orientation or = pi.Orientation;
LineSegment2D?baseLine = pi.GetBaseLine(PageIteratorLevel.Textline);
if (baseLine.HasValue)
{
CvInvoke.Line(rotatedImg, baseLine.Value.P1, baseLine.Value.P2, new MCvScalar(255));
//Emgu.CV.UI.ImageViewer.Show(rotatedImg);
}
}
String messageOcr = ocr.GetUTF8Text().TrimEnd('\n', '\r'); // remove end of line from ocr-ed text
//EmguAssert.AreEqual(message, messageOcr,
// String.Format("'{0}' is not equal to '{1}'", message, messageOcr));
Tesseract.Character[] results = ocr.GetCharacters();
String s1 = ocr.GetBoxText();
//String s2 = ocr.GetOsdText();
String s3 = ocr.GetTSVText();
String s4 = ocr.GetUNLVText();
using (PDFRenderer pdfRenderer = new PDFRenderer("abc.pdf", "./", false))
using (Pix imgPix = new Pix(img.Mat))
{
//bool success = ocr.ProcessPage(imgPix, 1, "img", null, 100000, pdfRenderer);
//EmguAssert.IsTrue(success, "failed to export pdf");
}
}
}
}
// Use this for initialization
void Start()
{
String[] names = new string[] { "eng.cube.bigrams", "eng.cube.fold", "eng.cube.lm", "eng.cube.nn", "eng.cube.params", "eng.cube.size", "eng.cube.word-freq", "eng.tesseract_cube.nn", "eng.traineddata" };
String outputPath = Path.Combine(Application.persistentDataPath, "tessdata");
if (!Directory.Exists(outputPath))
{
Directory.CreateDirectory(outputPath);
}
foreach (String n in names)
{
TextAsset textAsset = Resources.Load <TextAsset>(Path.Combine("tessdata", n));
String filePath = Path.Combine(outputPath, n);
#if UNITY_METRO
UnityEngine.Windows.File.WriteAllBytes(filePath, textAsset.bytes);
#else
if (!File.Exists(filePath))
{
File.WriteAllBytes(filePath, textAsset.bytes);
}
#endif
}
_ocr = new Tesseract(outputPath, "eng", OcrEngineMode.TesseractLstmCombined);
Debug.Log("OCR engine loaded.");
Image <Bgr, Byte> img = new Image <Bgr, byte>(480, 200);
String message = "Hello, World";
CvInvoke.PutText(img, message, new Point(50, 100), Emgu.CV.CvEnum.FontFace.HersheySimplex, 1.0, new MCvScalar(255, 255, 255));
_ocr.SetImage(img);
_ocr.Recognize();
Tesseract.Character[] characters = _ocr.GetCharacters();
foreach (Tesseract.Character c in characters)
{
CvInvoke.Rectangle(img, c.Region, new MCvScalar(255, 0, 0));
}
String messageOcr = _ocr.GetBoxText().TrimEnd('\n', '\r'); // remove end of line from ocr-ed text
Debug.Log("Detected text: " + message);
Texture2D texture = TextureConvert.InputArrayToTexture2D(img, FlipType.Vertical);
this.GetComponent <GUITexture>().texture = texture;
this.GetComponent <GUITexture>().pixelInset = new Rect(-img.Width / 2, -img.Height / 2, img.Width, img.Height);
}
public MainWindow()
{
InitializeComponent();
for (var i = 1; i < 15; i++)
{
ListView1.Items.Add(new ParkingEntry {
Name = $"Person #{i}", PlateNumber = $"Plate #{i}", DateEntry = DateTime.Now, DateExit = DateTime.Now.AddHours(i)
});
}
var path = System.IO.Path.GetDirectoryName(Assembly.GetExecutingAssembly().Location);
var folder = System.IO.Path.Combine(path, "tessdata");
_licensePlateDetector = new LicensePlateDetector(folder);
Mat m = new Mat(@"C:\Users\cayent\Desktop\ImageTest\222.jpg");
UMat um = m.GetUMat(AccessType.ReadWrite);
this.ImagePlate.Image = um;
//ProcessImage(m);
_ocr = new Tesseract(folder, "eng", OcrEngineMode.TesseractLstmCombined, "ABCDEFGHIJKLMNOPQRSTUVWXYZ 1234567890");
_ocr.SetVariable("tessedit_char_whitelist", "ABCDEFGHIJKLMNOPQRSTUVWXYZ-1234567890");
//create OCR engine
//_ocr = new Tesseract(System.AppDomain.CurrentDomain.BaseDirectory + @"\Data\\", "eng", OcrEngineMode.TesseractLstmCombined);
//_ocr.Init("", "eng", OcrEngineMode.TesseractLstmCombined);
//_ocr.SetVariable("tessedit_char_whitelist", "ABCDEFGHIJKLMNOPQRSTUVWXYZ-1234567890");
_ocr.SetImage(m);
_ocr.Recognize();
var text1 = _ocr.GetBoxText();
var text2 = _ocr.GetCharacters();
var text3 = _ocr.GetHOCRText();
//var text4 = _ocr.GetOsdText(1);
var text5 = _ocr.GetTSVText();
var text6 = _ocr.GetUNLVText();
var text7 = _ocr.GetUTF8Text();
Plate.Text = text7;
}
static void Main()
{
//using (Mat image = CvInvoke.Imread("../../characters/higher-res.jpg"))
//{
// var scaledImage = new Mat();
// CvInvoke.Resize(image, scaledImage, Size.Empty, 1.5, 1.5);
// DetectLinesInImage(scaledImage);
//}
//using (Mat toolbarObject = CvInvoke.Imread("../../../SURF_Resources/SURF_Toolbar_Mask.png", ImreadModes.Grayscale))
//using (Mat wordbrainObject = CvInvoke.Imread("../../../SURF_Resources/SURF_Wordbrain_Mask.png", ImreadModes.Grayscale))
//using (Mat scene = CvInvoke.Imread("../../../characters/Screenshot_20180530-100638_WordBrain.jpg", ImreadModes.Grayscale))
//{
// CompareImages(scene, toolbarObject, wordbrainObject);
// //DetectKeyPoints(scene);
//}
Console.WriteLine("Starting image recognition");
Task.Factory.StartNew(() =>
{
using (Image <Gray, byte> image =
new Image <Gray, byte>(Path.GetFullPath("../../../characters/result.png")))
{
using (Tesseract tesseractOcrProvider =
new Tesseract("C:\\Program Files\\Tesseract-OCR\\tessdata", "eng", OcrEngineMode.TesseractLstmCombined))
{
tesseractOcrProvider.SetVariable("segment_reward_chartype", "0.9");
tesseractOcrProvider.SetVariable("tessedit_char_whitelist", "ABCDEFGHIJKLMNOPQRSTUVWXYZ");
tesseractOcrProvider.SetImage(image);
tesseractOcrProvider.Recognize();
Tesseract.Character[] characters = tesseractOcrProvider.GetCharacters();
string text = tesseractOcrProvider.GetBoxText();
Console.WriteLine(text);
}
}
}).Wait();
Console.WriteLine("Called async image recognition");
}
