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OcrAutoRecognizeJobData Structure

Summary
Contains the data used to create an OCR Auto Recognition job.

Syntax
C#
Objective-C
C++/CLI
Java
Python
[SerializableAttribute()] 
public struct OcrAutoRecognizeJobData 
@interface LTOcrAutoRecognizeJobData : NSObject 
public class OcrAutoRecognizeJobData 
[SerializableAttribute()] 
public value class OcrAutoRecognizeJobData : public System.ValueType  
class OcrAutoRecognizeJobData: 
Remarks

Use this structure to specify the input data for an OCR job. After creating an instance of OcrAutoRecognizeJobData with the data, pass it to IOcrAutoRecognizeManager.CreateJob to create an IOcrAutoRecognizeJob object. Then use the IOcrAutoRecognizeJob object with the IOcrAutoRecognizeManager.RunJob and IOcrAutoRecognizeManager.RunJobAsync methods to run and monitor an OCR job.

The OcrAutoRecognizeJobData structure contains the following members:

Member Description
ImageFileName and ImageStream

The name of the file or the .NET stream containing the source image. This can be any single or multipage image file format supported by LEADTOOLS. One of these must not be null. If ImageFileName is not null, then it must contain the name of a file currently existing on disk.

FirstPageNumber

1-based index of the first page number in ImageFileName or ImageStream to recognize. Use this and LastPageNumber to recognize only a certain range of pages in the source file. This member must be greater than or equal to 1 (first page in the file).

LastPageNumber

1-based index of the last page number in ImageFileName or ImageStream to recognize. Use this and FirstPageNumber to recognize only a certain range of pages in the source file. Use a value of -1 to indicate "up to last page in the file"; otherwise, this member must be a value greater than or equal to FirstPageNumber, up to the maximum number of pages in the source file name.

ZonesFileName

Optional name of prepared multipage zone file. This member can be a null (Nothing in Visual Basic) reference. When no zone file is specified, the IOcrAutoRecognizeManager will auto-detect the zones for each page using IOcrPage.AutoZone.

Format

The output document format, which can be any of the supported DocumentFormats such as PDF, DOC and TEXT. If this member is DocumentFormat.User, then the document id saved using the native engine format set in IOcrDocumentManager.EngineFormat if the engine used supports native formats; otherwise, an exception will be thrown.

DocumentFileName and DocumentStream

The name of the output document file or the .NET stream to use for output. When recognition is completed, this file will be created on disk. One of these must not be null.

JobName

Optional job name. If tracing is enabled with IOcrAutoRecognizeManager.EnableTrace, then the engine will use its value in the trace messages. If this member is a null reference (Nothing in Visual Basic), then the trace will show the generic [Untitled] name next to the trace messages.

UserData

Optional user data associated with the job. Use this value to store any extra information required by your application. The IOcrAutoRecognizeJob will contain the same object used here in its IOcrAutoRecognizeJob.JobData member.

Example
C#
Java
using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.Ocr; 
using Leadtools.Document.Writer; 
using Leadtools.Forms.Common; 
using Leadtools.WinForms; 
 
public class RunJobExample 
{ 
   // Number of documents that are pending 
   private int _documentsPending; 
   // Event to trigger when all documents are finished 
   private AutoResetEvent _allDocumentsFinishedEvent; 
 
      public void Start() 
   { 
      string imagesDirectory = LEAD_VARS.ImagesDir; 
      string documentsDirectory = Path.Combine(LEAD_VARS.ImagesDir, "RunJobExample"); 
 
      // Create the output (documents) directory 
      if (!Directory.Exists(documentsDirectory)) 
      { 
         Directory.CreateDirectory(documentsDirectory); 
      } 
 
      // Get all TIF files in input (images) directory 
      string[] imageFileNames = Directory.GetFiles(imagesDirectory, "*.tif"); 
      if (imageFileNames.Length == 0) 
      { 
         Console.WriteLine("No images to OCR"); 
         return; 
      } 
 
      // Create a new OCR engine instance 
      OcrEngineType engineType = OcrEngineType.LEAD; 
      Console.WriteLine(string.Format("Starting up {0} engine", engineType)); 
      using (IOcrEngine ocrEngine = OcrEngineManager.CreateEngine(engineType)) 
      { 
         ocrEngine.Startup(null, null, null, LEAD_VARS.OcrLEADRuntimeDir); 
 
         // Setup document PDF save options: Image/Text with CCITT G4 encoding for B/W 
         DocumentWriter docWriter = ocrEngine.DocumentWriterInstance; 
         PdfDocumentOptions pdfOptions = docWriter.GetOptions(DocumentFormat.Pdf) as PdfDocumentOptions; 
         pdfOptions.ImageOverText = true; 
         pdfOptions.DocumentType = PdfDocumentType.Pdf; 
         pdfOptions.FontEmbedMode = DocumentFontEmbedMode.None; 
         pdfOptions.OneBitImageCompression = OneBitImageCompressionType.FaxG4; 
         docWriter.SetOptions(DocumentFormat.Pdf, pdfOptions); 
 
         // We are going to use multiple-threads, so disable threading in 
         // IOcrAutoRecognizeManager 
         IOcrAutoRecognizeManager autoRecognizeManager = ocrEngine.AutoRecognizeManager; 
         autoRecognizeManager.MaximumThreadsPerJob = 1; 
 
         // Tell the recognize manager to continue on errors 
         autoRecognizeManager.JobErrorMode = OcrAutoRecognizeManagerJobErrorMode.Continue; 
 
         // Instead of using events to trigger when documents are done, 
         // we will use the JobCompleted events of IOcrAutoRecognizeManager 
         // to decrement a counter and trigger one event when the counter reaches 0 
         autoRecognizeManager.JobStarted += new EventHandler<OcrAutoRecognizeRunJobEventArgs>(autoRecognizeManager_JobStarted); 
         autoRecognizeManager.JobCompleted += new EventHandler<OcrAutoRecognizeRunJobEventArgs>(autoRecognizeManager_JobCompleted); 
 
         int count = imageFileNames.Length; 
         _documentsPending = count; 
         _allDocumentsFinishedEvent = new AutoResetEvent(false); 
 
         for (int i = 0; i < count; i++) 
         { 
            // Create the job data 
            string imageFileName = imageFileNames[i]; 
            string name = "Document " + (i + 1).ToString(); 
            Console.WriteLine("Queuing {0} file {1}", name, imageFileName); 
 
            JobData data = new JobData(); 
            data.AutoRecognizeManager = autoRecognizeManager; 
            data.ImageFileName = imageFileName; 
            data.DocumentFileName = Path.Combine(documentsDirectory, Path.GetFileNameWithoutExtension(imageFileName) + ".pdf"); 
            data.JobName = name; 
 
            // Queue this job 
            ThreadPool.QueueUserWorkItem(new WaitCallback(RunJob), data); 
         } 
 
         // Wait for all documents to finish 
         _allDocumentsFinishedEvent.WaitOne(); 
         _allDocumentsFinishedEvent.Close(); 
 
         autoRecognizeManager.JobStarted -= new EventHandler<OcrAutoRecognizeRunJobEventArgs>(autoRecognizeManager_JobStarted); 
         autoRecognizeManager.JobCompleted -= new EventHandler<OcrAutoRecognizeRunJobEventArgs>(autoRecognizeManager_JobCompleted); 
 
         Console.WriteLine("All documents finished, check the result files in {0}", documentsDirectory); 
      } 
   } 
   private void autoRecognizeManager_JobStarted(object sender, OcrAutoRecognizeRunJobEventArgs e) 
   { 
      // This is not strictly needed in this example, we will 
      // use it to show information 
      Console.WriteLine("{0} started...", e.Job.JobData.JobName); 
 
      // Check if we need to abort 
      if (AbortJobs(e.Job)) 
      { 
         // Yes, abort all jobs 
         e.Job.AutoRecognizeManager.AbortAllJobs(); 
      } 
   } 
 
   private void autoRecognizeManager_JobCompleted(object sender, OcrAutoRecognizeRunJobEventArgs e) 
   { 
      string message = string.Format("{0} completed ", e.Job.JobData.JobName); 
 
      IOcrAutoRecognizeJob job = e.Job; 
 
      // Show any errors 
      if (job.Errors.Count == 0) 
      { 
         message += "successfully..."; 
      } 
      else 
      { 
         message += "with errors, first error is " + job.Errors[0].Exception.Message; 
 
         // And save the errors to a text file in the document directory 
         string documentFileName = job.JobData.DocumentFileName; 
         string textPathName = Path.Combine(Path.GetDirectoryName(documentFileName), Path.GetFileNameWithoutExtension(documentFileName) + "_errors.txt"); 
         using (StreamWriter writer = File.CreateText(textPathName)) 
         { 
            writer.WriteLine(job.JobData.JobName); 
            writer.WriteLine("Data:"); 
            writer.WriteLine(" Image file name: " + job.JobData.ImageFileName); 
            writer.WriteLine(" First page number: " + job.JobData.FirstPageNumber); 
            writer.WriteLine(" Last page number: " + job.JobData.LastPageNumber); 
            writer.WriteLine(" Format:" + job.JobData.Format); 
            writer.WriteLine(" Document file name: " + job.JobData.DocumentFileName); 
            writer.WriteLine("Errors:"); 
 
            foreach (OcrAutoRecognizeManagerJobError error in job.Errors) 
            { 
               writer.WriteLine(" Page: {0} during {1}. Error: {2}", error.ImagePageNumber, error.Operation, error.Exception.Message); 
            } 
         } 
      } 
 
      Console.WriteLine(message); 
 
      // Decrement the documents count, when we reach 0, we are done 
      // Since this will be called from multiple threads, we need 
      // to use a thread-safety procedure 
      int pending = Interlocked.Decrement(ref _documentsPending); 
 
      // If we are the last document, wait up main thread 
      if (pending == 0) 
      { 
         _allDocumentsFinishedEvent.Set(); 
      } 
   } 
 
   private class JobData 
   { 
      public IOcrAutoRecognizeManager AutoRecognizeManager; 
      public string ImageFileName; 
      public string DocumentFileName; 
      public string JobName; 
   } 
 
   private void RunJob(object state) 
   { 
      JobData data = state as JobData; 
 
      Console.WriteLine("Running {0}", data.JobName); 
 
      // Run it 
      OcrAutoRecognizeJobData jobData = new OcrAutoRecognizeJobData(data.ImageFileName, DocumentFormat.Pdf, data.DocumentFileName); 
      jobData.JobName = data.JobName; 
      IOcrAutoRecognizeJob job = data.AutoRecognizeManager.CreateJob(jobData); 
      data.AutoRecognizeManager.RunJob(job); 
   } 
 
   private bool AbortJobs(IOcrAutoRecognizeJob ocrJob) 
   { 
      // In your application, you can check if abortion is required, for example, if the user 
      // has pressed the Cancel button on a progress bar or if your service is shutting down. 
 
      // In this example, we will never abort, but you can change this code to return true 
      // upon any condition (or when a specific job is about to start) 
      // and the engine will abort all current and pending jobs 
      return false; 
   } 
} 
 
static class LEAD_VARS 
{ 
   public const string ImagesDir = @"C:\LEADTOOLS23\Resources\Images"; 
   public const string OcrLEADRuntimeDir = @"C:\LEADTOOLS23\Bin\Common\OcrLEADRuntime"; 
} 
 
import java.io.File; 
import java.io.FileNotFoundException; 
import java.io.FileWriter; 
import java.io.FilenameFilter; 
import java.io.IOException; 
import java.nio.file.Files; 
import java.nio.file.Path; 
import java.nio.file.Paths; 
import java.util.ArrayList; 
import java.util.concurrent.ExecutorService; 
import java.util.concurrent.Executors; 
import java.util.concurrent.atomic.AtomicInteger; 
 
import org.junit.*; 
import org.junit.runner.JUnitCore; 
import org.junit.runner.Result; 
import org.junit.runner.notification.Failure; 
 
import static org.junit.Assert.*; 
 
import leadtools.*; 
import leadtools.document.writer.*; 
import leadtools.internal.AutoResetEvent; 
import leadtools.ocr.*; 
 
 
// Number of documents that are pending 
private int _documentsPending; 
// Event to trigger when all documents are finished 
private AutoResetEvent _allDocumentsFinishedEvent; 
// Thread usage 
private final static AtomicInteger at = new AtomicInteger(); 
 
public void OcrAutoRecognizeManagerRunJobExample() throws IOException { 
   String LEAD_VARS_ImagesDir = "C:\\LEADTOOLS23\\Resources\\Images"; 
   String LEAD_VARS_OcrLEADRuntimeDir = "C:\\LEADTOOLS23\\Bin\\Common\\OcrLEADRuntime"; 
   String docsDir = combine(LEAD_VARS_ImagesDir, "RunJobExample"); 
   String imageDir = LEAD_VARS_ImagesDir; 
 
   // Create the output (documents) directory 
   Path docsPath = Paths.get(docsDir); 
   Files.createDirectories(docsPath); 
 
   // Get all TIF files in input (images) directory 
   Path imagePath = Paths.get(imageDir); 
   Files.createDirectories(imagePath); 
 
   FilenameFilter tifFileFilter = (d, s) -> { 
      return s.toLowerCase().endsWith(".tif"); 
   }; 
 
   File imageFolder = new File(imageDir); 
   String[] imageFileNames = imageFolder.list(tifFileFilter); 
   if (imageFileNames.length == 0) { 
      System.out.println("No images to OCR"); 
      return; 
   } 
 
   // Create a new OCR engine instance 
   OcrEngineType engineType = OcrEngineType.LEAD; 
   System.out.println("Starting up " + engineType + " engine"); 
   OcrEngine ocrEngine = OcrEngineManager.createEngine(engineType); 
 
   ocrEngine.startup(null, null, null, LEAD_VARS_OcrLEADRuntimeDir); 
 
   // Setup document PDF save options: Image/Text with CCITT G4 encoding for B/W 
   DocumentWriter docWriter = ocrEngine.getDocumentWriterInstance(); 
   PdfDocumentOptions pdfOptions = (PdfDocumentOptions) docWriter.getOptions(DocumentFormat.PDF); 
   pdfOptions.setImageOverText(true); 
   pdfOptions.setDocumentType(PdfDocumentType.PDF); 
   pdfOptions.setFontEmbedMode(DocumentFontEmbedMode.NONE); 
   pdfOptions.setOneBitImageCompression(OneBitImageCompressionType.FAX_G4); 
   docWriter.setOptions(DocumentFormat.PDF, pdfOptions); 
 
   // We are going to use multiple-threads, so disable threading in IOcrAutoRecognizeManager 
   OcrAutoRecognizeManager autoRecognizeManager = ocrEngine.getAutoRecognizeManager(); 
   autoRecognizeManager.setMaximumThreadsPerJob(1); 
 
   // Tell the recognize manager to continue on errors 
   autoRecognizeManager.setJobErrorMode(OcrAutoRecognizeManagerJobErrorMode.CONTINUE); 
 
   // Instead of using events to trigger when documents are done, 
   // we will use the JobCompleted events of IOcrAutoRecognizeManager 
   // to decrement a counter and trigger one event when the counter reaches 0 
   autoRecognizeManager.addJobStartedListener(autoRecognizeManager_JobStarted); 
   autoRecognizeManager.addJobCompletedListener(autoRecognizeManager_JobCompleted); 
   int count = imageFileNames.length; 
   _documentsPending = count; 
   at.set(_documentsPending); 
   _allDocumentsFinishedEvent = new AutoResetEvent(); 
 
   ExecutorService executorService = Executors.newFixedThreadPool(1); 
   System.out.println("Starting the threads and waiting..."); 
 
   for (int i = 0; i < count; i++) { 
      // Create the job data 
      String imageFileName = imageFileNames[i]; 
      String name = "Document " + (i + 1); 
      System.out.println("Queuing " + name + " file " + imageFileName); 
 
      JobData data = new JobData(); 
      data.AutoRecognizeManager = autoRecognizeManager; 
      data.ImageFileName = combine(LEAD_VARS_ImagesDir, imageFileName); 
      data.DocumentFileName = combine(docsDir,imageFileName.substring(0, imageFileName.indexOf(".")) + ".pdf"); 
      data.JobName = name; 
      File dataFile = new File(combine(docsDir,imageFileName.substring(0, imageFileName.indexOf(".")) + ".pdf")); 
      if (!dataFile.exists()) dataFile.createNewFile(); 
 
      Runnable runnableTask = new Runnable(){ 
 
         @Override 
         public void run(){ 
            RunJob(data); 
         } 
 
      }; 
  
      executorService.submit(runnableTask); 
   } 
 
   // Wait for all documents to finish 
   _allDocumentsFinishedEvent.waitOne(); 
   _allDocumentsFinishedEvent.close(); 
 
   System.out.println("All documents finished, check the result files in " + docsDir); 
   ocrEngine.dispose(); 
} 
 
OcrAutoRecognizeRunJobListener autoRecognizeManager_JobStarted = new OcrAutoRecognizeRunJobListener(){ 
 
   @Override public void onJob(OcrAutoRecognizeRunJobEvent e) { 
      // This is not strictly needed in this example, we will 
      // use it to show information 
      System.out.println(e.getJob().getJobData().getJobName()+" started..."); 
 
      // Check if we need to abort 
      if(AbortJobs(e.getJob())){ 
      // Yes, abort all jobs 
      e.getJob().getAutoRecognizeManager().abortAllJobs();} 
   } 
 
}; 
 
OcrAutoRecognizeRunJobListener autoRecognizeManager_JobCompleted = new OcrAutoRecognizeRunJobListener() { 
 
   @Override 
   public void onJob(OcrAutoRecognizeRunJobEvent e) { 
      OcrAutoRecognizeJob job = e.getJob(); 
      String message = job.getJobData().getJobName() + " completed "; 
 
      // Show any errors 
      if (job.getErrors().size()== 0) { 
         message += "successfully..."; 
      } 
      else { 
         message += " with errors, first error is " + job.getErrors().get(0).getException().getMessage(); 
 
         // And save the errors to a text file in the document directory 
         String documentFileName = job.getJobData().getDocumentFileName(); 
         File doc = new File(documentFileName); 
         String textPathName = combine(doc.getParent(), documentFileName.substring(0,documentFileName.indexOf(".")) + "_errors.txt"); 
 
         try (FileWriter writer = new FileWriter(textPathName)) { 
            writer.write(job.getJobData().getJobName()); 
            writer.write("Data:"+"\n"); 
            writer.write(" Image file name: " + job.getJobData().getImageFileName()+"\n"); 
            writer.write(" First page number: " + job.getJobData().getFirstPageNumber()+"\n"); 
            writer.write(" Last page number: " + job.getJobData().getLastPageNumber()+"\n"); 
            writer.write(" Format:" + job.getJobData().getFormat()+"\n"); 
            writer.write(" Document file name: " + job.getJobData().getDocumentFileName()+"\n"); 
            writer.write("Errors:"+"\n"); 
                
            for (OcrAutoRecognizeManagerJobError error : job.getErrors()) 
            { 
               writer.write(" Page: "+ error.getImagePageNumber() + " during " + error.getOperation() + ". Error: " + error.getException().getMessage() + "\n"); 
            } 
            writer.close(); 
         } catch (IOException e1) { 
            e1.printStackTrace(); 
         } 
      } 
 
      System.out.println(message); 
 
      // Decrement the documents count, when we reach 0, we are done 
      // Since this will be called from multiple threads, we need 
      // to use a thread-safety procedure 
      int pending = at.decrementAndGet(); 
      System.out.println(pending); 
          
      // If we are the last document, wait up main thread 
      if (pending == 0) 
         _allDocumentsFinishedEvent.set(); 
   } 
 
}; 
 
class JobData { 
   public OcrAutoRecognizeManager AutoRecognizeManager; 
   public String ImageFileName; 
   public String DocumentFileName; 
   public String JobName; 
} 
 
private void RunJob(JobData state) { 
   JobData data = state; 
   System.out.println("Running " + data.JobName); 
 
   // Run it 
   OcrAutoRecognizeJobData jobData = new OcrAutoRecognizeJobData( 
      data.ImageFileName,  
      DocumentFormat.PDF, 
      data.DocumentFileName 
   ); 
   jobData.setJobName(data.JobName); 
   OcrAutoRecognizeJob job = data.AutoRecognizeManager.createJob(jobData); 
   data.AutoRecognizeManager.runJob(job); 
} 
 
private boolean AbortJobs(OcrAutoRecognizeJob ocrJob) { 
   // In your application, you can check if abortion is required, for example, if the user 
   // has pressed the Cancel button on a progress bar or if your service is shutting down. 
 
   // In this example, we will never abort, but you can change this code to return true 
   // upon any condition (or when a specific job is about to start) 
   // and the engine will abort all current and pending jobs 
   return false; 
} 
 
public String combine(String path1, String path2) { 
   File file = new File(path1, path2); 
   return file.getPath(); 
} 
Requirements

Target Platforms

Help Version 23.0.2024.4.19
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Leadtools.Ocr Assembly
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© 1991-2023 LEAD Technologies, Inc. All Rights Reserved.