Recognize Handwritten Text From Images With ICR- C# .NET Core

This tutorial shows how to run ICR on a given image in a C# .NET Core application using the LEADTOOLS SDK.

Required Knowledge

Get familiar with the basic steps of creating a project by reviewing the Add References and Set a License tutorial, before working on the Recognize Handwritten Text From Images With ICR- C# .NET Core tutorial.

Create the Project and Add LEADTOOLS References

Start with a copy of the project created in the Add References and Set a License tutorial. If you do not have that project, follow the steps in that tutorial to create it.

The references needed depend upon the purpose of the project. References can be added via NuGet packages.

This tutorial requires the following NuGet package:

• Leadtools.Ocr

For a complete list of which DLL files are required for your application, refer to Files to be Included With Your Application.

Set the License File

The License unlocks the features needed for the project. It must be set before any toolkit function is called. For details, including tutorials for different platforms, refer to Setting a Runtime License.

There are two types of runtime licenses:

• Evaluation license, obtained at the time the evaluation toolkit is downloaded. It allows the toolkit to be evaluated.
• Deployment license. If a Deployment license file and developer key are needed, refer to Obtaining a License.

Note

Adding LEADTOOLS NuGet references and setting a license are covered in more detail in the Add References and Set a License tutorial.

Initialize the IOcrEngine and Add ICR Code

With the project created, the references added, and the license set, coding can begin.

In the Solution Explorer, open Program.cs. Add the following statements to the using block at the top of Program.cs.

using System; 
using System.IO; 
using Leadtools; 
using Leadtools.Ocr; 

Add a new method to the Program class named RunICR(). Call the RunICR() method inside the Main() method below the set license code, as shown below.

static void Main(string[] args) 
{ 
    if (!SetLicense()) 
        Console.WriteLine("Error setting license"); 
    else 
        Console.WriteLine("License file set successfully"); 
 
    RunICR(); 
} 

Add the code below to the RunICR() method to run ICR (Intelligent Character Recognition) on the loaded image and export the results as a searchable PDF. For the purposes of this tutorial, the sample image in the following file path is used: <INSTALL_DIR>\LEADTOOLS21\Resources\Images\demoicr2.tif.

static void RunICR() 
{ 
    string _file = @"C:\LEADTOOLS21\Resources\Images\demoicr2.tif"; 
    using (IOcrEngine _ocrEngine = OcrEngineManager.CreateEngine(OcrEngineType.LEAD)) 
    { 
        _ocrEngine.Startup(null, null, null, @"C:\LEADTOOLS21\Bin\Common\OcrLEADRuntime"); 
        // Create an OCR document 
        using (IOcrDocument ocrDocument = _ocrEngine.DocumentManager.CreateDocument()) 
        { 
            IOcrPage _ocrPage = ocrDocument.Pages.AddPage(_file, null); 
            _ocrPage.AutoZone(null); 
 
            for (int i = 0; i < _ocrPage.Zones.Count; i++) 
            { 
                OcrZone _zone = _ocrPage.Zones[i]; 
                _zone.ZoneType = OcrZoneType.Icr; 
            } 
            _ocrPage.Recognize(null); 
 
            ocrDocument.Save(@"C:\LEADTOOLS21\Resources\Images\icr.pdf", Leadtools.Document.Writer.DocumentFormat.Pdf, null); 
        } 
    } 
} 

Run the Project

Run the project by pressing F5, or by selecting Debug -> Start Debugging.

If the steps were followed correctly, the console appears and the application auto-generates zones with AutoZone for an image to be used in ICR, and outputs the recognized image to a searchable PDF.

Wrap-up

This tutorial showed how to run ICR on an image and output it to a searchable PDF. We also covered how to use the IOcrEngine and IOcrPage interfaces, along with the OcrZone structure.

See Also

• LEADTOOLS IOcrEngine Documentation
• LEADTOOLS IOcrDocument Documentation
• LEADTOOLS IOcrPage Documentation
• LEADTOOLS OcrZone Documentation
• LEADTOOLS SDK Download