コード例 #1
0
        public TesseractOCREngine(Image image)
        {
            this.image  = image;
            m_tesseract = new TesseractProcessor();
            bool succeed = m_tesseract.Init(m_path, m_lang, (int)TesseractEngineMode.DEFAULT);

            m_tesseract.SetVariable("tessedit_char_whitelist", "0123456789-.eExXpP/\\");
            m_tesseract.SetVariable("tessedit_pageseg_mode", ((int)TesseractPageSegMode.PSM_SINGLE_LINE).ToString());
            System.Environment.CurrentDirectory = System.IO.Path.GetFullPath(m_path);
        }
コード例 #2
0
 public Form1()
 {
     InitializeComponent();
     m_tesseract = new TesseractProcessor();
     m_tesseract.Init(m_path, m_lang, (int)TesseractEngineMode.DEFAULT);
     m_tesseract.SetVariable("tessedit_pageseg_mode", TesseractPageSegMode.PSM_AUTO.ToString());
 }
コード例 #3
0
ファイル: http.cs プロジェクト: antaluqi/web
        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));
        }
コード例 #4
0
        public static string Recognize(string url)
        {
            WebRequest  request  = WebRequest.Create(url);
            WebResponse response = request.GetResponse();
            Stream      st       = response.GetResponseStream();

            if (st == null)
            {
                return(string.Empty);
            }

            try
            {
                Bitmap bitmap = ((Bitmap)Bitmap.FromStream(st)).toGray().biLinear(2);
                //var newBitmap= KiCut(bitmap, 12, 22, bitmap.Width - 12, 22);
                string tessdata = Environment.CurrentDirectory + "\\tessdata\\";
                string language = "eng";//设置训练文件的名称,后缀traineddata之前的名称
                int    oem      = 3;
                // http://www.lixin.me/blog/2012/05/26/29536 训练
                using (TesseractProcessor processor = new TesseractProcessor())
                {
                    //初始化
                    bool initFlage = processor.Init(tessdata, language, oem);
                    //processor.GetTesseractEngineVersion();//获取版本号

                    /*
                     * Set the current page segmentation mode. Defaults to PSM_SINGLE_BLOCK.
                     * The mode is stored as an IntParam so it can also be modified by ReadConfigFile or SetVariable("tessedit_pageseg_mode", mode as string). */
                    //processor.SetPageSegMode(ePageSegMode.PSM_SINGLE_BLOCK);

                    //设置ROI(图像的感兴趣区域)
                    processor.UseROI = true;
                    processor.ROI    = new Rectangle(24, 0, bitmap.Width - 24, bitmap.Height);

                    //设置识别的变量 如果是自定义培训的文件 可以不用设置
                    //必须在初始化后调用
                    processor.SetVariable("tessedit_char_whitelist", "0123456789.");
                    //processor.SetVariable("tessedit_thresholding_method", "1"); //图像处理阀值是否打开
                    //processor.SetVariable("save_best_choices", "T");
                    using (Bitmap bmp = bitmap)
                    {
                        int i = 3;
                        oem = i;
                        string text        = processor.Recognize(bmp);
                        char[] charsToTrim = { '\\', 'n', '\\', 'n' };
                        return(text.TrimEnd(charsToTrim));
                        //Console.WriteLine(
                        //    string.Format(
                        //        "RecognizeMode: {1}\nText:\n{0}\n++++++\n", text, ((eOcrEngineMode)oem).ToString()));
                    }
                }
            }
            catch (Exception)
            {
                return(string.Empty);
            }
        }
コード例 #5
0
        private void OCR_Load(object sender, EventArgs e)
        {
            m_tesseract = new TesseractProcessor();
            bool succeed = m_tesseract.Init(m_path, m_lang, 3);

            if (!succeed)
            {
                MessageBox.Show("Tesseract initialization failed. The application will exit.");
                Application.Exit();
            }
            m_tesseract.SetVariable("tessedit_char_whitelist", "ABCDEFHKLMNPQRSTUVXYZ-.1234567890").ToString(); //Training Sets //abcdefghijklmnopqrstuvxyzABCDEFGHIJKLMNOPQRSTUVXYZ-.1234567890

            System.Environment.CurrentDirectory = System.IO.Path.GetFullPath(m_path);
        }
コード例 #6
0
ファイル: MainForm.cs プロジェクト: oisonan1999/Gui-Xe
        private void MainForm_Load(object sender, EventArgs e)
        {
            int soluong;
            int tong;

            tong                     = int.Parse(txt_tong.Text);
            soluong                  = int.Parse(bss.so_luong_xe());
            txt_conlai.Text          = (tong - soluong).ToString();
            dataGridView1.DataSource = bss.Danhsachxe();
            capture                  = new Emgu.CV.Capture();
            timer1.Enabled           = true;
            full_tesseract           = new TesseractProcessor();
            bool succeed = full_tesseract.Init(m_path, m_lang, 3);

            if (!succeed)
            {
                MessageBox.Show("Tesseract initialization failed. The application will exit.");
                Application.Exit();
            }
            full_tesseract.SetVariable("tessedit_char_whitelist", "ABCDEFHKLMNPRSTVXY1234567890").ToString();

            ch_tesseract = new TesseractProcessor();
            succeed      = ch_tesseract.Init(m_path, m_lang, 3);
            if (!succeed)
            {
                MessageBox.Show("Tesseract initialization failed. The application will exit.");
                Application.Exit();
            }
            ch_tesseract.SetVariable("tessedit_char_whitelist", "ABCDEFHKLMNPRSTUVXY").ToString();

            num_tesseract = new TesseractProcessor();
            succeed       = num_tesseract.Init(m_path, m_lang, 3);
            if (!succeed)
            {
                MessageBox.Show("Tesseract initialization failed. The application will exit.");
                Application.Exit();
            }
            num_tesseract.SetVariable("tessedit_char_whitelist", "1234567890").ToString();


            m_path = System.Environment.CurrentDirectory + "\\";
            string[] ports = SerialPort.GetPortNames();
            for (int i = 0; i < box.Length; i++)
            {
                box[i] = new PictureBox();
            }
        }
コード例 #7
0
        void CheckInPage_Loaded(object sender, RoutedEventArgs e)
        {
            full_tesseract = new TesseractProcessor();
            bool succeed = full_tesseract.Init(m_path, m_lang, 3);

            if (!succeed)
            {
                System.Windows.MessageBox.Show("Lỗi thư viện Tesseract. Chương trình cần kết thúc.");
            }
            full_tesseract.SetVariable("tessedit_char_whitelist", "ACDFHKLMNPRSTVXY1234567890").ToString();

            ch_tesseract = new TesseractProcessor();
            succeed      = ch_tesseract.Init(m_path, m_lang, 3);
            if (!succeed)
            {
                System.Windows.MessageBox.Show("Lỗi thư viện Tesseract. Chương trình cần kết thúc.");
            }
            ch_tesseract.SetVariable("tessedit_char_whitelist", "ACDEFHKLMNPRSTUVXY").ToString();

            num_tesseract = new TesseractProcessor();
            succeed       = num_tesseract.Init(m_path, m_lang, 3);
            if (!succeed)
            {
                System.Windows.MessageBox.Show("Lỗi thư viện Tesseract. Chương trình cần kết thúc.");
            }
            num_tesseract.SetVariable("tessedit_char_whitelist", "1234567890").ToString();

            System.Environment.CurrentDirectory = System.IO.Path.GetFullPath(m_path);
            for (int i = 0; i < box.Length; i++)
            {
                box[i] = new PictureBox();
            }
            string folder = System.AppDomain.CurrentDomain.BaseDirectory + "\\ImageTest";

            foreach (string fileName in Directory.GetFiles(folder, "*.bmp", SearchOption.TopDirectoryOnly))
            {
                lstimages.Add(System.IO.Path.GetFullPath(fileName));
            }
            foreach (string fileName in Directory.GetFiles(folder, "*.jpg", SearchOption.TopDirectoryOnly))
            {
                lstimages.Add(System.IO.Path.GetFullPath(fileName));
            }

            pic1 = (hostPic1.Child as System.Windows.Forms.PictureBox);
            pic2 = (hostPic2.Child as System.Windows.Forms.PictureBox);
            img1 = (hostImg1.Child as Emgu.CV.UI.ImageBox);
        }
コード例 #8
0
        //private string _Caption = "http://www.laptrinhvb.net";
        #endregion

        private void FrmMain_Load(object sender, EventArgs e)
        {
            full_tesseract = new TesseractProcessor();
            bool succeed = full_tesseract.Init(m_path, m_lang, 3);

            if (!succeed)
            {
                MessageBox.Show("Lỗi thư viện Tesseract. Chương trình cần kết thúc.");
                Application.Exit();
            }
            full_tesseract.SetVariable("tessedit_char_whitelist", "ACDFHKLMNPRSTVXY1234567890").ToString();

            ch_tesseract = new TesseractProcessor();
            succeed      = ch_tesseract.Init(m_path, m_lang, 3);
            if (!succeed)
            {
                MessageBox.Show("Lỗi thư viện Tesseract. Chương trình cần kết thúc.");
                Application.Exit();
            }
            ch_tesseract.SetVariable("tessedit_char_whitelist", "ACDEFHKLMNPRSTUVXY").ToString();

            num_tesseract = new TesseractProcessor();
            succeed       = num_tesseract.Init(m_path, m_lang, 3);
            if (!succeed)
            {
                MessageBox.Show("Lỗi thư viện Tesseract. Chương trình cần kết thúc.");
                Application.Exit();
            }
            num_tesseract.SetVariable("tessedit_char_whitelist", "1234567890").ToString();

            System.Environment.CurrentDirectory = System.IO.Path.GetFullPath(m_path);
            for (int i = 0; i < box.Length; i++)
            {
                box[i] = new PictureBox();
            }
            string folder = Application.StartupPath + "\\ImageTest";

            foreach (string fileName in Directory.GetFiles(folder, "*.bmp", SearchOption.TopDirectoryOnly))
            {
                lstimages.Add(Path.GetFullPath(fileName));
            }
            foreach (string fileName in Directory.GetFiles(folder, "*.jpg", SearchOption.TopDirectoryOnly))
            {
                lstimages.Add(Path.GetFullPath(fileName));
            }
        }
コード例 #9
0
        /*   private void button3_Click(object sender, EventArgs e)
         * {
         *     if (capture != null)
         *     {
         *         timer1.Enabled = false;
         *         pictureBox_XeRA.Image = null;
         *         IF.pictureBox2.Image = null;
         *         capture.QueryFrame().Save("aa.bmp");
         *         FileStream fs = new FileStream(m_path + "aa.bmp", FileMode.Open, FileAccess.Read);
         *         Image temp = Image.FromStream(fs);
         *         fs.Close();
         *         pictureBox_XeRA.Image = temp;
         *         IF.pictureBox2.Image = temp;
         *         pictureBox_XeRA.Update();
         *         IF.pictureBox2.Update();
         *         Image temp1;
         *         string temp2, temp3;
         *         /*Reconize(m_path + "aa.bmp", out temp1, out temp2, out temp3);
         *         pictureBox_XeVAO.Image = temp1;
         *         if(temp3 == "")
         *             text_BiensoVAO.Text = "ko nhận dạng dc biển số";
         *         else
         *             text_BiensoVAO.Text = temp3;
         *
         *         timer1.Enabled = true;
         *     }
         *
         * }*/

        private void MainForm_Load_1(object sender, EventArgs e)
        {
            capture        = new Emgu.CV.Capture();
            timer2.Enabled = true;
            timer4.Start();

            IF = new ImageForm();

            full_tesseract = new TesseractProcessor();
            bool succeed = full_tesseract.Init(m_path, m_lang, 3);

            if (!succeed)
            {
                MessageBox.Show("Tesseract initialization failed. The application will exit.");
                Application.Exit();
            }
            full_tesseract.SetVariable("tessedit_char_whitelist", "ABCDEFHKLMNPRSTVXY1234567890").ToString();

            ch_tesseract = new TesseractProcessor();
            succeed      = ch_tesseract.Init(m_path, m_lang, 3);
            if (!succeed)
            {
                MessageBox.Show("Tesseract initialization failed. The application will exit.");
                Application.Exit();
            }
            ch_tesseract.SetVariable("tessedit_char_whitelist", "ABCDEFHKLMNPRSTUVXY").ToString();

            num_tesseract = new TesseractProcessor();
            succeed       = num_tesseract.Init(m_path, m_lang, 3);
            if (!succeed)
            {
                MessageBox.Show("Tesseract initialization failed. The application will exit.");
                Application.Exit();
            }
            num_tesseract.SetVariable("tessedit_char_whitelist", "1234567890").ToString();


            m_path = System.Environment.CurrentDirectory + "\\";
            string[] ports = SerialPort.GetPortNames();
            for (int i = 0; i < box.Length; i++)
            {
                box[i] = new PictureBox();
            }
        }
コード例 #10
0
    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);
    }
コード例 #11
0
ファイル: Program.cs プロジェクト: git-thinh/tesseract301
    static oTesseractRequest __ocrExecute(oTesseractRequest req, Bitmap bitmap)
    {
        using (TesseractProcessor processor = new TesseractProcessor())
        {
            // call SetVariable() method before passing image(api->SetImage(image))
            // 0: otsu
            // 1: isodata local adaptive
            // 2: sauvola local adaptive => not implement yet
            //processor.SetVariable("tessedit_thresholding_method", "0");
            processor.SetVariable("tessedit_thresholding_method", "1");

            //processor.InitForAnalysePage();
            //processor.SetPageSegMode(ePageSegMode.PSM_AUTO_ONLY);
            //var success = processor.Init(req.data_path, req.lang, (int)eOcrEngineMode.OEM_DEFAULT);

            //var imageColor = new Emgu.CV.Mat();
            //var imageCV = new Emgu.CV.Image<Emgu.CV.Structure.Bgr, byte>(bitmap); //Image Class from Emgu.CV
            ////var imageCV = new Emgu.CV.Image<Emgu.CV.Structure.Gray, byte>(bitmap); //Image Class from Emgu.CV
            //var image = imageCV.Mat; //This is your Image converted to Mat

            //if (image.NumberOfChannels == 1)
            //    Emgu.CV.CvInvoke.CvtColor(image, imageColor, Emgu.CV.CvEnum.ColorConversion.Gray2Bgr);
            //else
            //    image.CopyTo(imageColor);

            using (var m0 = new MemoryStream())
            {
                bitmap.Save(m0, ImageFormat.Jpeg);
                //using (Bitmap bmp = Bitmap.FromFile(@"C:\temp\1.jpg") as Bitmap)
                using (Bitmap bmp = new Bitmap(m0))
                {
                    DocumentLayout doc = null;
                    switch (req.command)
                    {
                    case TESSERACT_COMMAND.GET_TEXT:
                        //string s = tes.GetText().Trim();
                        //req.output_text = s;
                        //req.output_count = s.Length;
                        req.ok = 1;
                        break;

                    default:
                        unsafe
                        {
                            doc = processor.AnalyseLayout(bmp);
                        }
                        if (doc != null)
                        {
                            var bs = new List <string>();
                            if (doc.Blocks.Count > 0)
                            {
                                for (int i = 0; i < doc.Blocks.Count; i++)
                                {
                                    for (int j = 0; j < doc.Blocks[i].Paragraphs.Count; j++)
                                    {
                                        bs.AddRange(doc.Blocks[j].Paragraphs[j].Lines
                                                    .Select(x => string.Format(
                                                                "{0}_{1}_{2}_{3}", x.Left, x.Top, x.Right, x.Bottom)));
                                    }
                                }
                            }
                            req.output_format = "left_top_right_bottom";
                            req.output_text   = string.Join("|", bs.ToArray());
                            req.output_count  = bs.Count;
                            req.ok            = 1;
                        }
                        break;
                    }
                }
            }
        }

        return(req);
    }
コード例 #12
0
        public static string Recognize(string url,Rectangle rectangle)
        {
            WebRequest request = WebRequest.Create(url);
            WebResponse response = request.GetResponse();
            Stream st = response.GetResponseStream();
            if (st == null)
            {
                return string.Empty;
            }

            Bitmap bitmap = ((Bitmap)Bitmap.FromStream(st)).toGray().biLinear(2);
            //var newBitmap= KiCut(bitmap, 12, 22, bitmap.Width - 12, 22);
            string tessdata = Environment.CurrentDirectory + "\\tessdata\\";
            string language = "eng";//设置训练文件的名称,后缀traineddata之前的名称
            int oem = 3;
            // http://www.lixin.me/blog/2012/05/26/29536 训练
            using (TesseractProcessor processor = new TesseractProcessor())
            {
                //初始化
                bool initFlage = processor.Init(tessdata, language, oem);
                //processor.GetTesseractEngineVersion();//获取版本号

                /*
                 Set the current page segmentation mode. Defaults to PSM_SINGLE_BLOCK.
                The mode is stored as an IntParam so it can also be modified by ReadConfigFile or SetVariable("tessedit_pageseg_mode", mode as string). */
                //processor.SetPageSegMode(ePageSegMode.PSM_SINGLE_BLOCK);

                //设置ROI(图像的感兴趣区域)
                if (rectangle != null)
                {
                    processor.UseROI = true;
                    processor.ROI = rectangle;
                }

                //设置识别的变量 如果是自定义培训的文件 可以不用设置
                //必须在初始化后调用
                processor.SetVariable("tessedit_char_whitelist", "0123456789.");
                //processor.SetVariable("tessedit_thresholding_method", "1"); //图像处理阀值是否打开
                //processor.SetVariable("save_best_choices", "T");
                using (Bitmap bmp = bitmap)
                {
                    string text = processor.Recognize(bmp);
                    char[] charsToTrim = { '\\', 'n', '\\', 'n' };
                    return text.TrimEnd(charsToTrim);
                }
            }
        }
コード例 #13
0
ファイル: Form1.cs プロジェクト: chuixue/Gamer
 public Form1()
 {
     InitializeComponent();
     this.PSN = new Person();
     this.imagePath = Application.StartupPath + "/image";
     if (Directory.Exists(this.imagePath) == false) Directory.CreateDirectory(this.imagePath);
     this.imagePath += "/";
     Init();
     this.F = new mPublic();
     this.CFG = new Config();
     this.MAPP = new Mapping();
     this.RMap = CFG.rect_map_now;
     this.thKill = new Thread(new ThreadStart(AutoKill));
     this.stopKill = true;
     this.ocrNumber = new OCR();
     /*
     //初始化数字识别引擎
     ocrNumber = new TesseractProcessor();
     bInitN = ocrNumber.Init(@".\", "chi_sim", 3);
     if (!bInitN) { MessageBox.Show("智能识别引擎初始化失败!"); return; }
     ocrNumber.SetVariable("tessedit_char_whitelist", ".,2134567890 ");
      * */
     //初始化汉字引擎
     ocrText = new TesseractProcessor();
     bInitT = ocrText.Init(@".\", "chi_sim", 3);
     if (!bInitT) { MessageBox.Show("智能识别引擎初始化失败!"); return; }
     ocrText.SetVariable("tessedit_char_blacklist", "fi蜘fi'£郜QWERTYUIOPASDFGHJKLZXCVBNM1234567890μqwertyuiopasdfghjklzxcvbnm"); 
     
     
 }
コード例 #14
0
ファイル: Form1.cs プロジェクト: chuixue/Gamer
 /*
 private string GetNumber(Bitmap image)
 {
     UnCodebase ud = new UnCodebase(image);
     ud.DealMap2();
     image = ud.bmpobj;
     pictureBox1.Image = image;
     if (!bInitT)
     {
         ocrNumber = new TesseractProcessor();
         bool inited = ocrNumber.Init(@".\", "chi_sim", 3);
         if (!inited) { MessageBox.Show("智能识别引擎初始化失败!"); return ""; }
         ocrNumber.SetVariable("tessedit_char_whitelist", ".,3214567890 ");
     }
     ocrNumber.Clear();
     ocrNumber.ClearAdaptiveClassifier();
     string result = ocrNumber.Recognize(image);
     return result;
 }
  * */
 private string GetChiSim(Bitmap image)
 {
     UnCodebase ud = new UnCodebase(image); 
     ud.DealText();
     image = ud.image;
     //pictureBox1.Image = image; textBox3.Text = ud.txt;
     if (!bInitT)
     {
         ocrText = new TesseractProcessor();
         bInitT = ocrText.Init(@".\", "chi_sim", 3);
         if (!bInitT) { MessageBox.Show("智能识别引擎初始化失败!"); return ""; }
         ocrText.SetVariable("tessedit_char_blacklist", "1234567890μqwertyuiopasdfghjklzxcvbnm'I flU]M.H flO");
     }
     ocrText.Clear();
     ocrText.ClearAdaptiveClassifier();
     string result = ocrText.Recognize(image);
     return result;
 }
コード例 #15
0
ファイル: MainForm.cs プロジェクト: zer09/tesseractdotnet
        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);
            //}
        }
コード例 #16
0
        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;
        }