private string Ocr(Bitmap image) //OCR Metotları
{
m_tesseract.Clear();
m_tesseract.ClearAdaptiveClassifier();
return(m_tesseract.Apply(image));
}
private const string m_lang = "eng"; // 识别的语言文件名称
public string read2dig(Image image)
{
TesseractProcessor m_tesseract = new TesseractProcessor();
;
bool succeed = m_tesseract.Init(m_path, m_lang, (int)TesseractEngineMode.DEFAULT);
if (!succeed)
{
return("tesseract初始化失败");
}
m_tesseract.SetVariable("tessedit_char_whitelist", "0123456789"); //设置识别变量，当前只能识别数字。
image.Save("./img/原图.bmp", System.Drawing.Imaging.ImageFormat.Bmp);
Bitmap bmp = ToGray(image);
bmp.Save("./img/灰度图.bmp", System.Drawing.Imaging.ImageFormat.Bmp);
bmp = ConvertTo1Bpp1(bmp, 110);
bmp.Save("./img/二值图.bmp", System.Drawing.Imaging.ImageFormat.Bmp);
bmp = Zoom(bmp, 0.25);
bmp.Save("./img/放大缩小后.bmp", System.Drawing.Imaging.ImageFormat.Bmp);
m_tesseract.Clear();
m_tesseract.ClearAdaptiveClassifier();
return(m_tesseract.Apply(bmp));
}
public static string Ocr(Bitmap image_s, bool isFull, TesseractProcessor full_tesseract, TesseractProcessor num_tesseract, TesseractProcessor ch_tesseract, bool isNum = false)
{
Image <Gray, byte> image = new Image <Gray, byte>(image_s);
while (true)
{
if ((double)CvInvoke.cvCountNonZero((IntPtr)((UnmanagedObject)image)) / (double)(image.Width * image.Height) <= 0.5)
{
image = image.Dilate(2);
}
else
{
break;
}
}
Bitmap bitmap = image.ToBitmap();
TesseractProcessor tesseractProcessor = !isFull ? (!isNum ? ch_tesseract : num_tesseract) : full_tesseract;
int num = 0;
tesseractProcessor.Clear();
tesseractProcessor.ClearAdaptiveClassifier();
string str = tesseractProcessor.Apply((Image)bitmap);
while (str.Length > 3)
{
bitmap = new Image <Gray, byte>(bitmap).Erode(2).ToBitmap();
tesseractProcessor.Clear();
tesseractProcessor.ClearAdaptiveClassifier();
str = tesseractProcessor.Apply((Image)bitmap);
++num;
if (num > 10)
{
str = "";
break;
}
}
return(str);
}
protected void Page_Load(object sender, EventArgs e)
{
var image = System.Drawing.Image.FromFile(@"D:\Image\Capture1T.tif");
m_tesseract = new TesseractProcessor();
bool succeed = m_tesseract.Init(m_path, m_lang, (int)TesseractEngineMode.DEFAULT);
if (!succeed)
{
}
m_tesseract.SetVariable("tessedit_pageseg_mode", ((int)TesseractPageSegMode.PSM_SINGLE_LINE).ToString());
m_tesseract.Clear();
m_tesseract.ClearAdaptiveClassifier();
string outValue = m_tesseract.Apply(image);
Response.Write(outValue);
}
private void button1_Click(object sender, RoutedEventArgs e)
{
const string language = "eng";
const string TessractData = @"C:\Users\Salman\Documents\GitHub\project-pinnacle\Research\Salman\OCRTest\tessdata\";
const string Path = @"C:\Users\Salman\NUS\EE4001\Research\trial.tif";
TesseractProcessor processor = new TesseractProcessor();
processor.DoMonitor = true;
System.Drawing.Image bmp = System.Drawing.Image.FromFile(Path);
bool x = processor.Init(TessractData, language, (int)eOcrEngineMode.TESSERACT_CUBE_COMBINED);
processor.Clear();
processor.ClearAdaptiveClassifier();
string result = processor.Apply(bmp);
List<Word> detectedWords = processor.RetriveResultDetail();
int a = 2;
//this.UpdateImageViewer(detectedWords);
//using (var bmp = Bitmap.FromFile(Path) as Bitmap)
//{
// var success = processor.Init(TessractData, language, (int)eOcrEngineMode.DEFAULT);
// if (!success)
// {
// Console.WriteLine("Failed to initialize tesseract.");
// }
// else
// {
// string text = processor.Recognize(bmp);
// Console.WriteLine("Text:");
// Console.WriteLine("*****************************");
// Console.WriteLine(text);
// Console.WriteLine("*****************************");
// }
//}
//Console.WriteLine("Press any key to exit.");
//Console.ReadKey();
}
private string Ocr(Image image)
{
m_tesseract.Clear();
m_tesseract.ClearAdaptiveClassifier();
return(m_tesseract.Apply(image));
}
private void Reconize(string link, out Image hinhbienso, out string bienso, out string bienso_text)
{
for (int i = 0; i < box.Length; i++)
{
this.Controls.Remove(box[i]);
}
hinhbienso = null;
bienso = "";
bienso_text = "";
ProcessImage(link);
if (PlateImagesList.Count != 0)
{
Image <Bgr, byte> src = new Image <Bgr, byte>(PlateImagesList[0].ToBitmap());
Bitmap grayframe;
FindContours con = new FindContours();
Bitmap color;
int c = con.IdentifyContours(src.ToBitmap(), 50, false, out grayframe, out color, out listRect);
pictureBox_BiensoVAO.Image = color;
hinhbienso = Plate_Draw;
pictureBox_BiensoVAO.Image = grayframe;
Image <Gray, byte> dst = new Image <Gray, byte>(grayframe);
grayframe = dst.ToBitmap();
string zz = "";
// lọc và sắp xếp số
List <Bitmap> bmp = new List <Bitmap>();
List <int> erode = new List <int>();
List <Rectangle> up = new List <Rectangle>();
List <Rectangle> dow = new List <Rectangle>();
int up_y = 0, dow_y = 0;
bool flag_up = false;
int di = 0;
if (listRect == null)
{
return;
}
for (int i = 0; i < listRect.Count; i++)
{
Bitmap ch = grayframe.Clone(listRect[i], grayframe.PixelFormat);
int cou = 0;
full_tesseract.Clear();
full_tesseract.ClearAdaptiveClassifier();
string temp = full_tesseract.Apply(ch);
while (temp.Length > 3)
{
Image <Gray, byte> temp2 = new Image <Gray, byte>(ch);
temp2 = temp2.Erode(2);
ch = temp2.ToBitmap();
full_tesseract.Clear();
full_tesseract.ClearAdaptiveClassifier();
temp = full_tesseract.Apply(ch);
cou++;
if (cou > 10)
{
listRect.RemoveAt(i);
i--;
di = 0;
break;
}
di = cou;
}
}
for (int i = 0; i < listRect.Count; i++)
{
for (int j = i; j < listRect.Count; j++)
{
if (listRect[i].Y > listRect[j].Y + 100)
{
flag_up = true;
up_y = listRect[j].Y;
dow_y = listRect[i].Y;
break;
}
else if (listRect[j].Y > listRect[i].Y + 100)
{
flag_up = true;
up_y = listRect[i].Y;
dow_y = listRect[j].Y;
break;
}
if (flag_up == true)
{
break;
}
}
}
for (int i = 0; i < listRect.Count; i++)
{
if (listRect[i].Y <up_y + 50 && listRect[i].Y> up_y - 50)
{
up.Add(listRect[i]);
}
else if (listRect[i].Y <dow_y + 50 && listRect[i].Y> dow_y - 50)
{
dow.Add(listRect[i]);
}
}
if (flag_up == false)
{
dow = listRect;
}
for (int i = 0; i < up.Count; i++)
{
for (int j = i; j < up.Count; j++)
{
if (up[i].X > up[j].X)
{
Rectangle w = up[i];
up[i] = up[j];
up[j] = w;
}
}
}
for (int i = 0; i < dow.Count; i++)
{
for (int j = i; j < dow.Count; j++)
{
if (dow[i].X > dow[j].X)
{
Rectangle w = dow[i];
dow[i] = dow[j];
dow[j] = w;
}
}
}
int x = 12;
int c_x = 0;
for (int i = 0; i < up.Count; i++)
{
Bitmap ch = grayframe.Clone(up[i], grayframe.PixelFormat);
Bitmap o = ch;
string temp;
if (i < 2)
{
temp = Ocr(ch, false, full_tesseract, num_tesseract, ch_tesseract, true); // nhan dien so
}
else
{
temp = Ocr(ch, false, full_tesseract, num_tesseract, ch_tesseract, false); // nhan dien chu
}
zz += temp;
box[i].Location = new Point(x + i * 50, 290);
box[i].Size = new Size(50, 100);
box[i].SizeMode = PictureBoxSizeMode.StretchImage;
box[i].Image = ch;
box[i].Update();
//this.Controls.Add(box[i]);
c_x++;
}
zz += "\r\n";
for (int i = 0; i < dow.Count; i++)
{
Bitmap ch = grayframe.Clone(dow[i], grayframe.PixelFormat);
//ch = con.Erodetion(ch);
string temp = Ocr(ch, false, full_tesseract, num_tesseract, ch_tesseract, true); // nhan dien so
zz += temp;
box[i + c_x].Location = new Point(x + i * 50, 390);
box[i + c_x].Size = new Size(50, 100);
box[i + c_x].SizeMode = PictureBoxSizeMode.StretchImage;
box[i + c_x].Image = ch;
box[i + c_x].Update();
}
bienso = zz.Replace("\n", "");
bienso = bienso.Replace("\r", "");
bienso_text = zz;
}
}
private void Button_Click(object sender, RoutedEventArgs e)
{
try
{
OpenFileDialog dlg = new OpenFileDialog();
dlg.Filter = "Image (*.bmp; *.jpg; *.jpeg; *.png) |*.bmp; *.jpg; *.jpeg; *.png|All files (*.*)|*.*||";
dlg.InitialDirectory = System.AppDomain.CurrentDomain.BaseDirectory + "\\ImageTest";
if (dlg.ShowDialog() == System.Windows.Forms.DialogResult.Cancel)
{
return;
}
string startupPath = dlg.FileName;
ProcessImage(startupPath);
if (PlateImagesList.Count != 0)
{
Image <Bgr, byte> src = new Image <Bgr, byte>(PlateImagesList[0].ToBitmap());
Bitmap grayframe;
Bitmap color;
//Tìm biên
int c = clsBSoft.IdentifyContours(src.ToBitmap(), 50, false, out grayframe, out color, out listRect);
pic1.Image = color;
pic2.Image = grayframe;
Image <Gray, byte> dst = new Image <Gray, byte>(grayframe);
grayframe = dst.ToBitmap();
//tạo chuỗi rỗng để hứng
string upp = "";
string down = "";
// lọc và sắp xếp số
List <Bitmap> bmp = new List <Bitmap>();
List <int> erode = new List <int>();
List <System.Drawing.Rectangle> up = new List <System.Drawing.Rectangle>();
List <System.Drawing.Rectangle> dow = new List <System.Drawing.Rectangle>();
int up_y = 0, dow_y = 0;
bool flag_up = false;
int di = 0;
if (listRect == null)
{
return;
}
for (int i = 0; i < listRect.Count; i++)
{
Bitmap ch = grayframe.Clone(listRect[i], grayframe.PixelFormat);
int cou = 0;
full_tesseract.Clear();
full_tesseract.ClearAdaptiveClassifier();
string temp = full_tesseract.Apply(ch);
while (temp.Length > 3)
{
Image <Gray, byte> temp2 = new Image <Gray, byte>(ch);
temp2 = temp2.Erode(2);
ch = temp2.ToBitmap();
full_tesseract.Clear();
full_tesseract.ClearAdaptiveClassifier();
temp = full_tesseract.Apply(ch);
cou++;
if (cou > 10)
{
listRect.RemoveAt(i);
i--;
di = 0;
break;
}
di = cou;
}
}
for (int i = 0; i < listRect.Count; i++)
{
for (int j = i; j < listRect.Count; j++)
{
if (listRect[i].Y > listRect[j].Y + 100)
{
flag_up = true;
up_y = listRect[j].Y;
dow_y = listRect[i].Y;
break;
}
else if (listRect[j].Y > listRect[i].Y + 100)
{
flag_up = true;
up_y = listRect[i].Y;
dow_y = listRect[j].Y;
break;
}
if (flag_up == true)
{
break;
}
}
}
for (int i = 0; i < listRect.Count; i++)
{
if (listRect[i].Y <up_y + 50 && listRect[i].Y> up_y - 50)
{
up.Add(listRect[i]);
}
else if (listRect[i].Y <dow_y + 50 && listRect[i].Y> dow_y - 50)
{
dow.Add(listRect[i]);
}
}
if (flag_up == false)
{
dow = listRect;
}
for (int i = 0; i < up.Count; i++)
{
for (int j = i; j < up.Count; j++)
{
if (up[i].X > up[j].X)
{
System.Drawing.Rectangle w = up[i];
up[i] = up[j];
up[j] = w;
}
}
}
for (int i = 0; i < dow.Count; i++)
{
for (int j = i; j < dow.Count; j++)
{
if (dow[i].X > dow[j].X)
{
System.Drawing.Rectangle w = dow[i];
dow[i] = dow[j];
dow[j] = w;
}
}
}
int x = 0;
int c_x = 0;
for (int i = 0; i < up.Count; i++)
{
Bitmap ch = grayframe.Clone(up[i], grayframe.PixelFormat);
Bitmap o = ch;
string temp;
if (i < 2)
{
temp = clsBSoft.Ocr(ch, false, full_tesseract, num_tesseract, ch_tesseract, true); // nhan dien so
}
else
{
temp = clsBSoft.Ocr(ch, false, full_tesseract, num_tesseract, ch_tesseract, false); // nhan dien chu
}
upp += temp;
box[i].Location = new System.Drawing.Point(x + i * 50, 0);
box[i].Size = new System.Drawing.Size(50, 100);
box[i].SizeMode = PictureBoxSizeMode.StretchImage;
box[i].Image = ch;
c_x++;
}
for (int i = 0; i < dow.Count; i++)
{
Bitmap ch = grayframe.Clone(dow[i], grayframe.PixelFormat);
string temp = clsBSoft.Ocr(ch, false, full_tesseract, num_tesseract, ch_tesseract, true); // nhan dien so
down += temp;
box[i + c_x].Location = new System.Drawing.Point(x + i * 50, 100);
box[i + c_x].Size = new System.Drawing.Size(50, 100);
box[i + c_x].SizeMode = PictureBoxSizeMode.StretchImage;
box[i + c_x].Image = ch;
}
tblNhandien.Text = upp.Replace("\n", "") + "\n" + down.Replace("\n", "");
tbNhandien.Text = upp.Replace("\n", "") + "_" + down.Replace("\n", "");
}
}
catch (Exception)
{
System.Windows.MessageBox.Show("tràn RAM");
}
}
private void metroButton2_Click(object sender, EventArgs e)
{
OpenFileDialog dlg = new OpenFileDialog();
dlg.Filter = "Image (*.bmp; *.jpg; *.jpeg; *.png) |*.bmp; *.jpg; *.jpeg; *.png|All files (*.*)|*.*||";
dlg.InitialDirectory = Application.StartupPath + "\\ImageTest";
if (dlg.ShowDialog() == System.Windows.Forms.DialogResult.Cancel)
{
return;
}
string startupPath = dlg.FileName;
ProcessImage1(startupPath);
if (PlateImagesList.Count != 0)
{
Image <Bgr, byte> src = new Image <Bgr, byte>(PlateImagesList[0].ToBitmap());
Bitmap grayframe;
Bitmap color;
int c = clsBSoft.IdentifyContours(src.ToBitmap(), 50, false, out grayframe, out color, out listRect);
pictureBox1.Image = color;
pictureBox2.Image = grayframe;
textBox2.Text = c.ToString();
Image <Gray, byte> dst = new Image <Gray, byte>(grayframe);
grayframe = dst.ToBitmap();
string zz = "";
// lọc và sắp xếp số
List <Bitmap> bmp = new List <Bitmap>();
List <int> erode = new List <int>();
List <Rectangle> up = new List <Rectangle>();
List <Rectangle> dow = new List <Rectangle>();
int up_y = 0, dow_y = 0;
bool flag_up = false;
int di = 0;
if (listRect == null)
{
return;
}
for (int i = 0; i < listRect.Count; i++)
{
Bitmap ch = grayframe.Clone(listRect[i], grayframe.PixelFormat);
int cou = 0;
full_tesseract.Clear();
full_tesseract.ClearAdaptiveClassifier();
string temp = full_tesseract.Apply(ch);
while (temp.Length > 3)
{
Image <Gray, byte> temp2 = new Image <Gray, byte>(ch);
temp2 = temp2.Erode(2);
ch = temp2.ToBitmap();
full_tesseract.Clear();
full_tesseract.ClearAdaptiveClassifier();
temp = full_tesseract.Apply(ch);
cou++;
if (cou > 10)
{
listRect.RemoveAt(i);
i--;
di = 0;
break;
}
di = cou;
}
}
for (int i = 0; i < listRect.Count; i++)
{
for (int j = i; j < listRect.Count; j++)
{
if (listRect[i].Y > listRect[j].Y + 100)
{
flag_up = true;
up_y = listRect[j].Y;
dow_y = listRect[i].Y;
break;
}
else if (listRect[j].Y > listRect[i].Y + 100)
{
flag_up = true;
up_y = listRect[i].Y;
dow_y = listRect[j].Y;
break;
}
if (flag_up == true)
{
break;
}
}
}
for (int i = 0; i < listRect.Count; i++)
{
if (listRect[i].Y <up_y + 50 && listRect[i].Y> up_y - 50)
{
up.Add(listRect[i]);
}
else if (listRect[i].Y <dow_y + 50 && listRect[i].Y> dow_y - 50)
{
dow.Add(listRect[i]);
}
}
if (flag_up == false)
{
dow = listRect;
}
for (int i = 0; i < up.Count; i++)
{
for (int j = i; j < up.Count; j++)
{
if (up[i].X > up[j].X)
{
Rectangle w = up[i];
up[i] = up[j];
up[j] = w;
}
}
}
for (int i = 0; i < dow.Count; i++)
{
for (int j = i; j < dow.Count; j++)
{
if (dow[i].X > dow[j].X)
{
Rectangle w = dow[i];
dow[i] = dow[j];
dow[j] = w;
}
}
}
int x = 0;
int c_x = 0;
for (int i = 0; i < up.Count; i++)
{
Bitmap ch = grayframe.Clone(up[i], grayframe.PixelFormat);
Bitmap o = ch;
string temp;
if (i < 2)
{
temp = clsBSoft.Ocr(ch, false, full_tesseract, num_tesseract, ch_tesseract, true); // nhan dien so
}
else
{
temp = clsBSoft.Ocr(ch, false, full_tesseract, num_tesseract, ch_tesseract, false); // nhan dien chu
}
zz += temp;
box[i].Location = new Point(x + i * 50, 0);
box[i].Size = new Size(50, 100);
box[i].SizeMode = PictureBoxSizeMode.StretchImage;
box[i].Image = ch;
panel1.Controls.Add(box[i]);
c_x++;
}
zz += "\r\n";
for (int i = 0; i < dow.Count; i++)
{
Bitmap ch = grayframe.Clone(dow[i], grayframe.PixelFormat);
string temp = clsBSoft.Ocr(ch, false, full_tesseract, num_tesseract, ch_tesseract, true); // nhan dien so
zz += temp;
box[i + c_x].Location = new Point(x + i * 50, 100);
box[i + c_x].Size = new Size(50, 100);
box[i + c_x].SizeMode = PictureBoxSizeMode.StretchImage;
box[i + c_x].Image = ch;
panel1.Controls.Add(box[i + c_x]);
}
textBox1.Text = zz;
}
}
private void DoOCR(IImage image)
{
ClearRenderingData();
string variable = "tessedit_pageseg_mode";
int storedOSD = 0;
_ocrProcessor.GetIntVariable(variable, ref storedOSD);
try
{
// Fully automatic page segmentation
int fully_psm_auto = 3;
_ocrProcessor.SetVariable(variable, fully_psm_auto.ToString());
///// DEMO ONLY
using (Image bitmap = ToImage(image))
{
///// DEMO ONLY
_ocrProcessor.Clear();
_ocrProcessor.ClearAdaptiveClassifier();
BlockList blocks = _ocrProcessor.DetectBlocks(bitmap);
this.UpdateImageViewer(blocks);
///// DEMO ONLY
_ocrProcessor.Clear();
_ocrProcessor.ClearAdaptiveClassifier();
string result = _ocrProcessor.Apply(bitmap);
List <Word> detectedWords = _ocrProcessor.RetriveResultDetail();
this.UpdateImageViewer(detectedWords);
if (!string.IsNullOrEmpty(result))
{
MessageBox.Show(result);
}
}
}
catch
{
}
finally
{
_ocrProcessor.SetVariable(variable, storedOSD.ToString());
}
//_ocrProcessor.Clear();
//_ocrProcessor.ClearAdaptiveClassifier();
//using (Image bitmap = ToImage(image))
//{
// //string result = _ocrProcessor.Apply(_fileName);
// string result = _ocrProcessor.Apply(bitmap);
// List<Word> detectedWords = _ocrProcessor.RetriveResultDetail();
// this.UpdateImageViewer(detectedWords);
// if (!string.IsNullOrEmpty(result))
// MessageBox.Show(result);
//}
}
private void button7_Click(object sender, EventArgs e)
{
try
{
if (imgInput == null)
{
throw new Exception("Chon anh hoac chup anh !");
}
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
Image <Bgr, byte> imgInputClone = imgInput.Clone();
Image <Gray, byte> grayInput = imgInput.Convert <Gray, byte>().Clone();
var faces = grayInput.DetectHaarCascade(new HaarCascade(Application.StartupPath + "\\vn2best.xml"), 1.1, 8, HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(0, 0))[0];
foreach (var face in faces)
{
imgInput.ROI = face.rect;
imgInputClone.Draw(face.rect, new Bgr(Color.Blue), 2);
pictureBox1.Image = imgInputClone.Bitmap;
pictureBox2.Image = imgInput.Bitmap;
}
Image <Bgr, byte> color1 = imgInput.Resize(450, 300, Emgu.CV.CvEnum.INTER.CV_INTER_LINEAR);
Bitmap src = color1.ToBitmap();
Bitmap grayframe;
FindContours con = new FindContours();
Bitmap color;
List <Rectangle> listR = new List <Rectangle>();
int c = con.IdentifyContours(src, 50, false, out grayframe, out color, out listRect);
pictureBox2.Image = color;
IF.pictureBox1.Image = grayframe;
IF.pictureBox2.Image = imgInputClone.Bitmap;
Image <Gray, byte> dst = new Image <Gray, byte>(grayframe);
grayframe = dst.ToBitmap();
string zz = "";
string sothe = "";
// lọc và sắp xếp số
List <Bitmap> bmp = new List <Bitmap>();
List <int> erode = new List <int>();
List <Rectangle> up = new List <Rectangle>();
List <Rectangle> dow = new List <Rectangle>();
int up_y = 0, dow_y = 0;
bool flag_up = false;
int di = 0;
if (listRect == null)
{
return;
}
for (int i = 0; i < listRect.Count; i++)
{
Bitmap ch = grayframe.Clone(listRect[i], grayframe.PixelFormat);
int cou = 0;
full_tesseract.Clear();
full_tesseract.ClearAdaptiveClassifier();
string temp = full_tesseract.Apply(ch);
while (temp.Length > 3)
{
Image <Gray, byte> temp2 = new Image <Gray, byte>(ch);
temp2 = temp2.Erode(2);
ch = temp2.ToBitmap();
full_tesseract.Clear();
full_tesseract.ClearAdaptiveClassifier();
temp = full_tesseract.Apply(ch);
cou++;
if (cou > 10)
{
listRect.RemoveAt(i);
i--;
di = 0;
break;
}
di = cou;
}
}
for (int i = 0; i < listRect.Count; i++)
{
for (int j = i; j < listRect.Count; j++)
{
if (listRect[i].Y > listRect[j].Y + 100)
{
flag_up = true;
up_y = listRect[j].Y;
dow_y = listRect[i].Y;
break;
}
else if (listRect[j].Y > listRect[i].Y + 100)
{
flag_up = true;
up_y = listRect[i].Y;
dow_y = listRect[j].Y;
break;
}
if (flag_up == true)
{
break;
}
}
}
for (int i = 0; i < listRect.Count; i++)
{
if (listRect[i].Y <up_y + 50 && listRect[i].Y> up_y - 50)
{
up.Add(listRect[i]);
}
else if (listRect[i].Y <dow_y + 50 && listRect[i].Y> dow_y - 50)
{
dow.Add(listRect[i]);
}
}
if (flag_up == false)
{
dow = listRect;
}
for (int i = 0; i < up.Count; i++)
{
for (int j = i; j < up.Count; j++)
{
if (up[i].X > up[j].X)
{
Rectangle w = up[i];
up[i] = up[j];
up[j] = w;
}
}
}
for (int i = 0; i < dow.Count; i++)
{
for (int j = i; j < dow.Count; j++)
{
if (dow[i].X > dow[j].X)
{
Rectangle w = dow[i];
dow[i] = dow[j];
dow[j] = w;
}
}
}
int x = 12;
int c_x = 0;
for (int i = 0; i < up.Count; i++)
{
Bitmap ch = grayframe.Clone(up[i], grayframe.PixelFormat);
Bitmap o = ch;
//ch = con.Erodetion(ch);
string temp;
if (i < 2)
{
temp = Ocr(ch, false, true); // nhan dien so
}
else
{
temp = Ocr(ch, false, false);// nhan dien chu
}
zz += temp; c_x++; sothe += temp;
}
zz += " - ";
for (int i = 0; i < dow.Count; i++)
{
Bitmap ch = grayframe.Clone(dow[i], grayframe.PixelFormat);
//ch = con.Erodetion(ch);
string temp = Ocr(ch, false, true); // nhan dien so
zz += temp;
}
sothe = dateTimePicker1.Value.Second + dateTimePicker1.Value.Hour + " - " + sothe;
if (zz == " - ")
{
textBox1.Text = "khong nhan dien duoc bien so";
}
else
{
textBox1.Text = zz;
}
IF.textBox6.Text = zz;
textBox3.Text = sothe;
textBox4.Text = label18.Text + " - " + dateTimePicker1.Text;
}
private void button2_Click(object sender, EventArgs e)
{
Image mg = Image.FromFile(Application.StartupPath + "\\1.jpg");
////Image mg = Image.FromFile("e:\\test24.tif");
imageViewer1.Initialize(new OCRRenderingData(), new OCRAnalysisRender(imageViewer1));
imageViewer1.Image = mg;
TesseractProcessor _ocrProcessor = null;
_ocrProcessor = new TesseractProcessor();
_ocrProcessor.UseROI = false;
imageViewer1.RectA = new Rectangle(0, 0, 0, 0);
//string _tessData = "E:\\tesseract\\tesseract-ocr-dotnet-3.01\\tessdata\\";
string _tessData = Application.StartupPath + "\\tessdata\\";
string _lang = "eng";
int _ocrEngineMode = 3;
bool status = _ocrProcessor.Init(_tessData, _lang, _ocrEngineMode);
Console.WriteLine(string.Format("[DEBUG] Init status: {0}", status));
//string text = _ocrProcessor.Recognize(mg);
//MessageBox.Show(text);
////**************************************************** converts 1bpp to 24bpp
//Bitmap image = new Bitmap(@"e:\\test11.tif");
//Bitmap bitmap = new Bitmap(image.Width, image.Height, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
//for (int i = 0; i < image.Width; i++)
//{
// for (int j = 0; j < image.Height; j++)
// {
// Color temp = image.GetPixel(i, j);
// bitmap.SetPixel(i, j, temp);
// }
//}
//bitmap.Save(@"e:\\test24.tif", System.Drawing.Imaging.ImageFormat.Bmp);
//Image mg1 = Image.FromFile("e:\\test24.tif");
////******************************************************************************************************
string variable = "tessedit_pageseg_mode";
// Fully automatic page segmentation
int fully_psm_auto = 3;
_ocrProcessor.SetVariable(variable, fully_psm_auto.ToString());
///// DEMO ONLY
//_ocrProcessor.Clear();
//_ocrProcessor.ClearAdaptiveClassifier();
//BlockList blocks = _ocrProcessor.DetectBlocks(mg);
//this.UpdateImageViewer(blocks);
_ocrProcessor.Clear();
_ocrProcessor.ClearAdaptiveClassifier();
string result = _ocrProcessor.Apply(mg);
List <Word> detectedWords = _ocrProcessor.RetriveResultDetail();
this.UpdateImageViewer(detectedWords);
//MessageBox.Show(result);
button3.Enabled = true;
button4.Enabled = true;
}