private static void Main(string[] args)
{
Console.Write("Input image path:");
string input = Console.ReadLine();
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
T.TesseractEngine engine = new T.TesseractEngine("tessdata", "tur", T.EngineMode.TesseractAndLstm);
stopwatch.Stop();
Console.WriteLine("Engine creation :" + stopwatch.ElapsedMilliseconds.ToString() + " ms");
stopwatch.Restart();
T.Pix image = T.Pix.LoadFromFile(input);
T.Page page = engine.Process(image);
string text = page.GetText();
stopwatch.Stop();
Console.WriteLine("Process time :" + stopwatch.ElapsedMilliseconds.ToString() + " ms");
Console.Write("Result: " + text);
Console.Read();
}
/// <summary>
/// Charactor Recognition Proccess
/// </summary>
/// <param name="imgPath"></param>
/// <param name="dataDirPath"></param>
/// <param name="lang"></param>
/// <returns></returns>
private static string Character_recognition_Process(string imgPath, string dataDirPath, string lang)
{
if (!System.IO.File.Exists(imgPath))
{
//Console.Error.WriteLine("画像のパスに画像が見つかりませんでした");
return("画像のパスに画像が見つかりませんでした");
}
//Reading language learning data
string traindedDataPath = System.IO.Path.Combine(dataDirPath, lang + ".traineddata");
if (!System.IO.File.Exists(traindedDataPath))
{
//Console.Error.WriteLine(lang + ".traineddataがみつかりませんでした");
return(lang + ".traineddataがみつかりませんでした");
}
// Character recognition
using (TesseractEngine tesseract = new Tesseract.TesseractEngine(dataDirPath, lang))
{
// Import an image file
var img = new System.Drawing.Bitmap(imgPath);
// Specifying a character
tesseract.SetVariable("tessedit_char_whitelist", "1234567890ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz.,");
// PERFORM OCR
Tesseract.Page page = tesseract.Process(img);
//Console.WriteLine(page.GetText());
return(page.GetText());
}
}
/// <summary>
/// 文字認識
/// </summary>
private void AnalyzeString()
{
// Bitmapを処理、適度に切り取った方がOCRを扱いやすい
System.Drawing.Rectangle rect = new System.Drawing.Rectangle(20, 90, 450, 100);
SrcImg = SrcImg.Clone(rect, SrcImg.PixelFormat);
// 確認用の画面に画像を出力
this.Dispatcher.Invoke(() => {
this._Image_crop.Source = ConvertBitmapToIS(SrcImg);
});
// 以下OCR
string langPath = @"C:\tessdata";
string lngStr = "eng";
//画像ファイルでテストするならパス指定
//var img = new Bitmap(@"C:\test.jpg");
var img = SrcImg;
using (var tesseract = new Tesseract.TesseractEngine(langPath, lngStr))
{
// OCRの実行
Pix pix = PixConverter.ToPix(img);
Tesseract.Page page = tesseract.Process(pix);
//表示
Console.WriteLine(page.GetText());
Console.ReadLine(); // err?
}
}
internal async void Analyze(object sender, RoutedEventArgs e)
{
if (WPFHelper.GetCurrentMainWindow().currentImageSource == null)
{
return;
}
((Button)sender).IsEnabled = false;
uiItemsMatched.Clear();
uiItemsUnknown.Clear();
using (Tesseract.Page p = engine.Process((Bitmap)Bitmap.FromFile(WPFHelper.GetCurrentMainWindow().currentImageSource), PageSegMode.Auto)) {
StringParser instance = new StringParser(ruleset);
ParsingResult result = null;
string[] split = p.GetText().Split('\n');
string[] ready = split.Where((s) => { return(!string.IsNullOrWhiteSpace(s)); }).ToArray();
try {
result = await Task.Run(() => { return(instance.Parse(ready)); });
}
catch (ParsingEntryNotFoundException) {
string[] modified = new string[ready.Length + 1];
modified[0] = ruleset.startMarkers[0];
ready.CopyTo(modified, 1);
result = await Task.Run(() => { return(instance.Parse(modified)); });
}
ConstructUI(result.parsed, uiItemsMatched);
ConstructUI(result.unknown, uiItemsUnknown);
}
((Button)sender).IsEnabled = true;
}
private void button2_Click(object sender, EventArgs e)
{
//pictureBox1.Image = Clipboard.GetImage();
engine = new TesseractEngine(System.Environment.CurrentDirectory + "\\tessdata", "chi_sim", EngineMode.Default);
img = new Bitmap(pictureBox1.Image);
page = engine.Process(img);
textBox1.Text = page.GetText();
}
private string ExtractText(Bitmap bitmap)
{
TesseractEngine engine = new TesseractEngine(@"./tessdata", "eng", EngineMode.Default);
Tesseract.Page page = engine.Process(bitmap);
return(page.GetText());
}
/// <summary>
/// 取得圖片中的文字
/// </summary>
/// <param name="ImgData">圖片檔</param>
/// <param name="TessData_Path">圖片文字識別資源檔之路徑</param>
/// <param name="TessData_Language">選擇的文字語言</param>
/// <returns></returns>
public static string GetImgText(byte[] ImgData, string TessData_Path = @"./tessdata", string TessData_Language = "eng")
{
string ImgText;
Mat MatImg = Todo_OpenCvSharp4.ImgByteArrayToMat(ImgData);
using (var inms = new MemoryStream(MatImg.ToBytes()))
using (var outms = new MemoryStream())
{
System.Drawing.Bitmap.FromStream(inms).Save(outms, System.Drawing.Imaging.ImageFormat.Tiff);
var pix = Pix.LoadTiffFromMemory(outms.ToArray());
using (var engine = new TesseractEngine(TessData_Path, TessData_Language, EngineMode.Default))
{
Tesseract.Page page = engine.Process(pix);
ImgText = page.GetText();
}
}
//Mat src = Cv2.ImDecode(image, ImreadModes.Color);
//using (new OpenCvSharp.Window("asdf", src))
//{
//}
////Mat src = new Mat("lenna.png", ImreadModes.Grayscale);
//Mat src = Cv2.ImDecode(image, ImreadModes.Grayscale);
////Mat dst = new Mat();
////Cv2.Canny(src, dst, 50, 200);
//using (new OpenCvSharp.Window("src image", src))
//{
// Cv2.WaitKey();
//}
//using (var inms = new MemoryStream(src.ToBytes()))
//using (var outms = new MemoryStream())
//{
// System.Drawing.Bitmap.FromStream(inms).Save(outms, System.Drawing.Imaging.ImageFormat.Tiff);
// var pix = Pix.LoadTiffFromMemory(outms.ToArray());
// ImageSource result;
// result = BitmapFrame.Create(outms, BitmapCreateOptions.None, BitmapCacheOption.OnLoad);
// Img_Test.Source = result;
// using (var engine = new TesseractEngine(@"./tessdata", "eng", EngineMode.Default))
// {
// Tesseract.Page page = engine.Process(pix);
// string res = page.GetText();
// lbl_Test.Content = res;
// }
//}
return(ImgText);
}
public string GetTextSurroundedByRectangle(Bitmap b, RectangleF r, PageSegMode pageSegMode)
{
if (!getScaled(b, ref r))
{
return(null);
}
using (Tesseract.Page page = engine.Process(b, new Rect((int)r.X, (int)r.Y, (int)r.Width, (int)r.Height), pageSegMode))
{
return(page.GetText());
}
}
public MainWindow()
{
InitializeComponent();
Bitmap img = new Bitmap("C:\\Users\\Bikalpa\\Documents\\testdll\\testimage.png");
TesseractEngine engine = new TesseractEngine("./tessdata", "eng", EngineMode.Default);
Tesseract.Page page = engine.Process(img, PageSegMode.Auto);
string result = page.GetText();
MessageBox.Show(result);
}
public bool FindWord(string searchWord, out Point position)
{
bool result = false;
float minDistance = float.MaxValue;
Point center = new Point(bitmap.Width / 2, bitmap.Height / 2);
position = new Point(0, 0);
debugText += page.GetText();
var iterator = page.GetIterator();
iterator.Begin();
do
{
string word = iterator.GetText(PageIteratorLevel.Word);
if (word != null)
{
debugText += "\r\nWord: '" + word + "'";
if (searchWord.Length > 0 && word.ToUpper().Contains(searchWord.ToUpper()))
{
debugText += "\r\n*** Word match!";
Rect rect;
if (iterator.TryGetBoundingBox(PageIteratorLevel.Word, out rect))
{
Point wordCenter = new Point((rect.X1 + rect.X2) / 2, (rect.Y1 + rect.Y2) / 2);
int dx = wordCenter.X - center.X;
int dy = wordCenter.Y - center.Y;
float distance = (float)Math.Sqrt(dx * dx + dy * dy);
if (distance <= minDistance)
{
debugText += "\r\n*** Closest!";
position = wordCenter;
result = true;
minDistance = distance;
}
}
else
{
debugText += "\r\n*** Error: Failed to get bounding box!";
}
}
}
} while (iterator.Next(PageIteratorLevel.Word));
return(result);
}
protected void Page_Load(object sender, EventArgs e)
{
string ocrTtxt = "";
//chi_sim是中文库
const string language = "chi_sim";
//Nuget安装的Tessract版本为3.20，tessdata的版本必须与其匹配，另外路径最后必须以"\"或者"/"结尾
string TessractData = AppDomain.CurrentDomain.BaseDirectory + @"tessdata\";
TesseractEngine test = new TesseractEngine(TessractData, language);
//创建一个图片对象
Bitmap tmpVal = new Bitmap(AppDomain.CurrentDomain.BaseDirectory + @"Content\捕获.PNG");
//灰度化，可以提高识别率
var tmpImage = Helper.Class.ToGray(tmpVal);
//Page tmpPage = test.Process(tmpImage, pageSegMode: test.DefaultPageSegMode);
Page tmpPage = test.Process(tmpImage);
ocrTtxt = tmpPage.GetText();
}
//En este metodo es el que utiliza el tesseract ... se obtiene la imagen del captcha terminada
// y devuelve el texto obtenido ...
public string UseTesseract()
{
string text = String.Empty;
//Recordemos que el metodo ( si ya obviaré las tildes ) ...
// el metodo ReadCapcha devuelve la imagen ya procesada ...
using (Bitmap bm = new Bitmap(ReadCapcha()))
{
//Instanciamos el TesseractEngine declarado arriba !
engine = new TesseractEngine(@".\tessdata", "eng", EngineMode.Default);
engine.DefaultPageSegMode = PageSegMode.SingleBlock;
Tesseract.Page p = engine.Process(bm);
text = p.GetText().Trim().ToUpper().Replace(" ", "");
// Console.WriteLine("Text recognized: " + text);
}
//Retornamos luego del trabajo del OCR el texto obtenido
return(text);
}
//Aqui obtenemos el captcha
private String ReadCapcha()
{
try
{
System.Net.ServicePointManager.ServerCertificateValidationCallback = new System.Net.Security.RemoteCertificateValidationCallback(ValidarCertificado);
//Esta es la direccion que les pase en el grupo de facebook para obtener el captcha
//HttpWebRequest myWebRequest = (HttpWebRequest)WebRequest.Create("http://www.sunat.gob.pe/cl-ti-itmrconsruc/captcha?accion=image&magic=2");
HttpWebRequest myWebRequest = (HttpWebRequest)WebRequest.Create("http://e-consultaruc.sunat.gob.pe/cl-ti-itmrconsruc/captcha?accion=image&magic=2");
myWebRequest.CookieContainer = myCookie;
myWebRequest.Proxy = null;
myWebRequest.Credentials = CredentialCache.DefaultCredentials;
HttpWebResponse myWebResponse = (HttpWebResponse)myWebRequest.GetResponse();
Stream myImgStream = myWebResponse.GetResponseStream();
//Modificación 1 ... Esta fue la primera modificación ... cree un mapa de bits que utilizaré como
//parámetro para en fin ... mejor se los muestro xd
Bitmap bm = new Bitmap(Image.FromStream(myImgStream));
//quitamos el color a nuestro mapa de bits
qutarColor(bm);
//Procesamos la imagen (separación de carácteres, alineación etc)
//Y se devuelve la imagen lista para ser procesada por el OCR
//Recordemos que el metodo ( si ya obviaré las tildes ) ...
// el metodo ReadCapcha devuelve la imagen ya procesada ...
using (Bitmap bm2 = new Bitmap((Image)PreProcessImage(bm)))
{
//Instanciamos el TesseractEngine declarado arriba !
//engine = new TesseractEngine(@".\tessdata", "eng", EngineMode.Default);
string dataPath = HostingEnvironment.MapPath(@"~/tessdata");
//string dataPath = @"E:\Mario\Proyectos\IB2B.LocalizacionNew\IB2B.Localizacion\IB2B.Localizacion.Web\tessdata";
engine = new TesseractEngine(dataPath, "eng", EngineMode.Default);
engine.DefaultPageSegMode = PageSegMode.SingleBlock;
Tesseract.Page p = engine.Process(bm2);
TextoCapcha = p.GetText().Trim().ToUpper().Replace(" ", "");
// Console.WriteLine("Text recognized: " + text);
}
return(TextoCapcha);
}
catch (Exception ex)
{
throw ex;
}
}
// 工具栏 “识别” 按钮单击事件
private void Button_Click(object sender, RoutedEventArgs e)
{
TesseractEngine ocr;
string path = AppDomain.CurrentDomain.BaseDirectory;
string rootPath = path.Substring(0, path.LastIndexOf("bin"));
string tessdataPath = string.Concat(rootPath, "tessdata"); // TODO: 修改为资源->打包后可用
ocr = new TesseractEngine(tessdataPath, "eng", EngineMode.Default); //设置语言 英文
var img = Pix.LoadFromFile(imgPath);
//bit = PreprocesImage(bit);//进行图像处理,如果识别率低可试试
Tesseract.Page page = ocr.Process(img);
string str = "识别结果：\n\n";
str += page.GetText();//识别后的内容
page.Dispose();
//string str = ImageToText(imgPath);
tessTextBlock.Text = str; // 识别结果显示到界面
// TODO: 识别失败的处理
}
public string ImageFromText(Image img)
{
try
{
string text = String.Empty;
using (Bitmap bm = new Bitmap(img))
{
//Instanciamos el TesseractEngine declarado arriba !
TesseractEngine engine = new TesseractEngine(@"C:\Sistema\tessdata", "eng", EngineMode.Default);
engine.DefaultPageSegMode = PageSegMode.SingleBlock;
Tesseract.Page p = engine.Process(bm);
text = p.GetText().Trim().ToUpper().Replace(" ", "");
};
return(text);
}
catch (TargetInvocationException ex)
{
MessageBox.Show("Problema al obtener el codigo: " + ex.Message);
return(null);
}
}
/*
int LookingTextMarker(RecognazeRule Rule, Page page, out ResultIterator BestLineIter, out int word)
{
word = -1;
BestLineIter = null;
int BestDistance = 10000;
ResultIterator LineIter = page.GetIterator();
string[] Words = Rule.TextMarker.Split(new char[] {' '}, StringSplitOptions.RemoveEmptyEntries);
int NumberOfWords = Words.Length;
LineIter.Begin();
do
{
int CurrentWordNumber = -1;
int CurrentBestDistance = 10000;
string Line = LineIter.GetText(PageIteratorLevel.TextLine);
if(Line == null)
continue;
string[] WordsOfLine = Line.Split(new char[] {' '}, StringSplitOptions.None);
if(WordsOfLine.Length < NumberOfWords)
continue;
for(int shift = 0; shift <= WordsOfLine.Length - NumberOfWords; shift++)
{
int PassDistance = 0;
for(int i = 0; i < NumberOfWords; i++)
{
PassDistance += FuzzyStringComparer.GetDistanceLevenshtein(WordsOfLine[shift + i],
Words[i],
StringComparison.CurrentCultureIgnoreCase);
}
if(PassDistance < CurrentBestDistance)
{
CurrentBestDistance = PassDistance;
CurrentWordNumber = shift + 1;
}
}
if(CurrentBestDistance < BestDistance)
{
AddToLog ("new best");
AddToLog (LineIter.GetText(PageIteratorLevel.Word));
word = CurrentWordNumber;
if(BestLineIter != null)
BestLineIter.Dispose();
BestLineIter = LineIter.Clone();
AddToLog (BestLineIter.GetText(PageIteratorLevel.TextLine));
BestDistance = CurrentBestDistance;
}
} while( LineIter.Next(PageIteratorLevel.TextLine));
LineIter.Dispose();
return BestDistance;
} */
int GetTextPosition(string Text, Page page, out int PosX, out int PosY, out double AngleRad, RecognazeRule[] AfterMarkerRules)
{
int BestDistance = 10000;
PosX = -1;
PosY = -1;
AngleRad = 0;
logger.Debug("Marker zone text:{0}", page.GetText());
ResultIterator LineIter = page.GetIterator();
string[] Words = Text.Split(new char[] {' '}, StringSplitOptions.RemoveEmptyEntries);
int NumberOfWords = Words.Length;
LineIter.Begin();
do
{
int CurrentWordNumber = -1;
int CurrentAfterWord = 0;
int CurrentBestDistance = 10000;
string Line = LineIter.GetText(PageIteratorLevel.TextLine);
if(Line == null || Line == "")
continue;
Line = Line.Trim();
string[] WordsOfLine = Line.Split(new char[] {' '}, StringSplitOptions.RemoveEmptyEntries);
if(WordsOfLine.Length == 0)
continue;
for(int shift = 0; shift < WordsOfLine.Length; shift++)
{
for(int i = 1; i <= NumberOfWords && i <= WordsOfLine.Length - shift; i++)
{
string passString = String.Join(" ", WordsOfLine, shift, i);
int PassDistance = FuzzyStringComparer.GetDistanceLevenshtein(passString,
Text,
StringComparison.CurrentCultureIgnoreCase);
if(PassDistance < CurrentBestDistance)
{
CurrentBestDistance = PassDistance;
CurrentWordNumber = shift;
CurrentAfterWord = shift + i;
}
}
}
if(CurrentBestDistance < BestDistance)
{
logger.Debug("new best");
logger.Debug(LineIter.GetText(PageIteratorLevel.TextLine).Trim());
//Заполняем поля данными после маркера.
foreach(RecognazeRule rule in AfterMarkerRules)
{
if(rule.NextAfterTextMarker && WordsOfLine.Length > CurrentAfterWord + rule.ShiftWordsCount)
{
rule.AfterTextMarkerValue = WordsOfLine[CurrentAfterWord + rule.ShiftWordsCount];
}
}
BestDistance = CurrentBestDistance;
for(int i = 0; i < CurrentWordNumber; i++)
{
LineIter.Next(PageIteratorLevel.Word);
}
Rect Box;
LineIter.TryGetBoundingBox(PageIteratorLevel.Word, out Box);
PosX = Box.X1;
PosY = Box.Y1;
logger.Debug("Position X1:{0} Y1:{1} X2:{2} Y2:{3}", Box.X1, Box.Y1, Box.X2, Box.Y2);
LineIter.TryGetBaseline(PageIteratorLevel.Word, out Box);
logger.Debug("BaseLine X1:{0} Y1:{1} X2:{2} Y2:{3}", Box.X1, Box.Y1, Box.X2, Box.Y2);
AngleRad = Math.Atan2(Box.Y2 - Box.Y1, Box.X2 - Box.X1); //угл наклона базовой линии.
double AngleGrad = AngleRad * (180/Math.PI);
logger.Debug("Angle rad:{0} grad:{1}", AngleRad, AngleGrad);
}
} while( LineIter.Next(PageIteratorLevel.TextLine));
LineIter.Dispose();
return BestDistance;
}
protected void Unnamed_Click(object sender, EventArgs e)
{
if (!checkBoxOCR.Checked)
{
if (fileUpload.HasFile)
{
if (Path.GetExtension(fileUpload.FileName) == ".pdf")
{
XmlDocument doc = new XmlDocument();
doc.Load(Server.MapPath("~/xml.xml"));
using (var rasterizer = new GhostscriptRasterizer())
{
rasterizer.Open(fileUpload.FileContent, gvi, true);
for (int i = 1; i <= 5; i++)
{
var ocr = new TesseractEngine(Server.MapPath("./tessdata"), "eng");
var pdf2jpg = (System.Drawing.Image)rasterizer.GetPage(200, 200, i).Clone();
Tesseract.Page page = ocr.Process((Bitmap)pdf2jpg);
List <Field> fields = new List <Field>();
switch (i)
{
case 1:
fields = Constants.fields1;
break;
case 2:
fields = Constants.fields2;
break;
case 3:
fields = Constants.fields3;
break;
case 4:
fields = Constants.fields4;
break;
case 5:
fields = Constants.fields5;
break;
}
foreach (Field field in fields)
{
string txtRetrieved = "";
if (field.isCross)
{
if (field.specialTreatment)
{
txtRetrieved = !Methods.IsBlank(Methods.CropImage(new Bitmap(pdf2jpg), field.rect.X1, field.rect.Y1, field.rect.Width, field.rect.Height)) ? field.value : "";
}
else
{
txtRetrieved = !Methods.IsBlank(Methods.CropImage(new Bitmap(pdf2jpg), field.rect.X1, field.rect.Y1, field.rect.Width, field.rect.Height)) ? "Y" : field.CrossNo ? "N" : "";
}
}
else
{
page.RegionOfInterest = field.rect;
txtRetrieved = page.GetText();
}
doc.SelectSingleNode(field.xmlField).InnerText = txtRetrieved;
}
}
Response.Clear();
Response.AddHeader("Content-Disposition", "attachment;filename=MyXmlDocument.xml");
Response.AddHeader("Content-Length", doc.OuterXml.Length.ToString());
Response.ContentType = "application/octet-stream";
Response.Write(doc.OuterXml);
Response.End();
}
}
}
}
else
{
if (page1Upload.HasFile && page2Upload.HasFile && page3Upload.HasFile && page4Upload.HasFile && page5Upload.HasFile)
{
XmlDocument doc = new XmlDocument();
List <System.Drawing.Image> pages = new List <System.Drawing.Image>()
{
ResizeImage(System.Drawing.Image.FromStream(new MemoryStream(page1Upload.FileBytes)), 1700, 2200),
ResizeImage(System.Drawing.Image.FromStream(new MemoryStream(page2Upload.FileBytes)), 1700, 2200),
ResizeImage(System.Drawing.Image.FromStream(new MemoryStream(page3Upload.FileBytes)), 1700, 2200),
ResizeImage(System.Drawing.Image.FromStream(new MemoryStream(page4Upload.FileBytes)), 1700, 2200),
ResizeImage(System.Drawing.Image.FromStream(new MemoryStream(page5Upload.FileBytes)), 1700, 2200)
};
using (var rasterizer = new GhostscriptRasterizer())
{
doc.Load(Server.MapPath("~/xml.xml"));
List <Field> fields = new List <Field>();
for (int i = 0; i <= 4; i++)
{
using (var page = pages[i])
{
var ocr = new TesseractEngine(Server.MapPath("./tessdata"), "eng");
Tesseract.Page pageOCR = ocr.Process((Bitmap)page);
switch (i)
{
case 0:
fields = Constants.fields1;
break;
case 1:
fields = Constants.fields2;
break;
case 2:
fields = Constants.fields3;
break;
case 3:
fields = Constants.fields4;
break;
case 4:
fields = Constants.fields5;
break;
}
foreach (Field field in fields)
{
string text = "";
if (field.isCross)
{
if (field.specialTreatment)
{
text = !Methods.IsBlank(Methods.CropImage(new Bitmap(page), field.rect.X1, field.rect.Y1, field.rect.Width, field.rect.Height)) ? field.value : "";
}
else
{
text = !Methods.IsBlank(Methods.CropImage(new Bitmap(page), field.rect.X1, field.rect.Y1, field.rect.Width, field.rect.Height)) ? "Y" : field.CrossNo ? "N" : "";
}
}
else
{
pageOCR.RegionOfInterest = field.rect;
text = pageOCR.GetText();
}
doc.SelectSingleNode(field.xmlField).InnerText = text;
}
}
}
MemoryStream stream = new MemoryStream();
doc.Save(stream);
StreamReader reader = new StreamReader(stream);
Response.Clear();
Response.AddHeader("Content-Disposition", "attachment;filename=MyXmlDocument.xml");
Response.AddHeader("Content-Length", doc.OuterXml.Length.ToString());
Response.ContentType = "application/octet-stream";
Response.Write(reader.ReadToEnd());
Response.End();
}
}
}
}
public Boolean Classification(int[,] AddedAreaPoints, string ImageID)
{
// Bitmap DestinationImage = new Bitmap(28, 28); /// To see Result of Scaling
Bitmap DestinationImage = new Bitmap(AddedAreaPoints.Rows(), AddedAreaPoints.Columns());
int[,] DestinationPoints = new int[28, 28]; /// To see Result of Scaling
double XConvertor = (double)(AddedAreaPoints.Rows()) / (double)(28);
double YConvertor = (double)(AddedAreaPoints.Columns()) / (double)(28);
double[] input = new double[784];
for (int i = 0; i < 28; i++)
{
for (int j = 0; j < 28; j++)
{
double XInSourceImage = (double)(XConvertor * i);
double YInSourceImage = (double)(YConvertor * j);
int X = (int)(Math.Floor(XInSourceImage));
int Y = (int)(Math.Floor(YInSourceImage));
input[i * 28 + j] = AddedAreaPoints[X, Y];
DestinationPoints[i, j] = AddedAreaPoints[X, Y];
}
}
// for (int i = 0; i < 28; i++)
for (int i = 0; i < AddedAreaPoints.Rows(); i++)
{
// for (int j = 0; j < 28; j++)
for (int j = 0; j < AddedAreaPoints.Columns(); j++)
{
// if (DestinationPoints[i, j] == 1)
if (AddedAreaPoints[i, j] == 1)
DestinationImage.SetPixel(i, j, Color.Black);
else
DestinationImage.SetPixel(i, j, Color.White);
}
}
DestinationImage.Save(@"C:\Users\nhonarva\Documents\ResultsOfScaling\scaling" + ImageID + ".png");
var image = Pix.LoadFromFile(@"C:\Users\nhonarva\Documents\ResultsOfScaling\scaling" + ImageID + ".png");
// Page page;
page=_engine.Process(image, PageSegMode.SingleBlock);
string text = page.GetText();
double confidence = page.GetMeanConfidence();
page.Dispose();
int actual = (int)ksvm.Compute(input);
if (actual == 1)
return true;
else
return false;
}