这是针对Tesseract 2.04的。 您需要一个兼容3.02版本的.NET 包装器 。

 To access or use tesseract 3.02 trained data we have to create separate wrapper class like below. using System; using System.IO; using System.Diagnostics; using System.Drawing; /// 
 /// Summary description for TesseractOCR /// 
 /// namespace tesseractThree { public class TesseractOCR { public TesseractOCR() { // // TODO: Add constructor logic here // } private string commandpath; private string outpath; private string tmppath; public TesseractOCR(string commandpath) { this.commandpath = commandpath; tmppath = System.Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData) + @"out.tif"; outpath = System.Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData) + @"out.txt"; } public string analyze(string filename,string lang,bool noLine) { string args = filename + " " + outpath.Replace(".txt", ""); ProcessStartInfo startinfo; if (noLine == true) { startinfo = new ProcessStartInfo(commandpath, args + " -l " + lang + " -psm 6"); } else { startinfo = new ProcessStartInfo(commandpath, args + " -l " + lang); } startinfo.CreateNoWindow = true; startinfo.UseShellExecute = false; Process.Start(startinfo).WaitForExit(); string ret = ""; using (StreamReader r = new StreamReader(outpath)) { string content = r.ReadToEnd(); ret = content; } File.Delete(outpath); return ret; } public string OCRFromBitmap(Bitmap bmp,string lang,bool noLine) { bmp.Save(tmppath, System.Drawing.Imaging.ImageFormat.Tiff); string ret = analyze(tmppath,lang,noLine); File.Delete(tmppath); return ret; } /* public string OCRFromFile(string filename) { return analyze(filename); }*/ } } //Usage of this class string lang = "enc"; Bitmap b = new Bitmap(@"D:Imageenc.test_font.exp0.tif"); TesseractOCR ocr = new TesseractOCR(@"C:Program FilesTesseract-OCRtesseract.exe"); string result = ocr.OCRFromBitmap(b, lang,true); Label1.Text = result; OR Refer below link for more details. https://gist.github.com/yatt/915443 

使用tesseractengine3.dll我们可以使用tesseract v3.02训练数据，如下所示。

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 using System; using System.Collections.Generic; using System.Linq; using System.Web; using System.Web.UI; using System.Web.UI.WebControls; using tesseract; using System.Drawing; using System.IO; public enum TesseractEngineMode : int { /// 
 /// Run Tesseract only - fastest /// 
 TESSERACT_ONLY = 0, /// 
 /// Run Cube only - better accuracy, but slower /// 
 CUBE_ONLY = 1, /// 
 /// Run both and combine results - best accuracy /// 
 TESSERACT_CUBE_COMBINED = 2, /// 
 /// Specify this mode when calling init_*(), /// to indicate that any of the above modes /// should be automatically inferred from the /// variables in the language-specific config, /// command-line configs, or if not specified /// in any of the above should be set to the /// default OEM_TESSERACT_ONLY. /// 
 DEFAULT = 3 } public enum TesseractPageSegMode : int { /// 
 /// Fully automatic page segmentation /// 
 PSM_AUTO = 0, /// 
 /// Assume a single column of text of variable sizes /// 
 PSM_SINGLE_COLUMN = 1, /// 
 /// Assume a single uniform block of text (Default) /// 
 PSM_SINGLE_BLOCK = 2, /// 
 /// Treat the image as a single text line /// 
 PSM_SINGLE_LINE = 3, /// 
 /// Treat the image as a single word /// 
 PSM_SINGLE_WORD = 4, /// 
 /// Treat the image as a single character /// 
 PSM_SINGLE_CHAR = 5 } public partial class importDLL : System.Web.UI.Page { private TesseractProcessor m_tesseract = null; //private const string m_path = @"....data"; private const string m_path = @"D:tessdata-3.02"; private const string m_lang = "eng"; protected void Page_Load(object sender, EventArgs e) { var image = System.Drawing.Image.FromFile(@"D:ImageCapture1T.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); } }