This tutorial shows how to run ICR on a given image in a C# .NET Core application using the LEADTOOLS SDK.
|Summary||This tutorial covers how to use
|Completion Time||30 minutes|
|Visual Studio Project||Download tutorial project (1 KB)|
|Platform||C# .NET Core Console Application|
|IDE||Visual Studio 2017, 2019|
|Development License||Download LEADTOOLS|
|Try it in another language|
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.
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:
For a complete list of which DLL files are required for your application, refer to Files to be Included With Your Application.
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:
Adding LEADTOOLS NuGet references and setting a license are covered in more detail in the Add References and Set a License tutorial.
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
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)
Console.WriteLine("Error setting license");
Console.WriteLine("License file set successfully");
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:
static void RunICR()
string _file = @"C:\LEADTOOLS22\Resources\Images\demoicr2.tif";
using (IOcrEngine _ocrEngine = OcrEngineManager.CreateEngine(OcrEngineType.LEAD))
_ocrEngine.Startup(null, null, null, @"C:\LEADTOOLS22\Bin\Common\OcrLEADRuntime");
// Create an OCR document
using (IOcrDocument ocrDocument = _ocrEngine.DocumentManager.CreateDocument())
IOcrPage _ocrPage = ocrDocument.Pages.AddPage(_file, null);
for (int i = 0; i < _ocrPage.Zones.Count; i++)
OcrZone tempZone = _ocrPage.Zones[i];
tempZone.ZoneType = OcrZoneType.Icr;
_ocrPage.Zones[i] = tempZone;
ocrDocument.Save(@"C:\LEADTOOLS22\Resources\Images\icr.pdf", Leadtools.Document.Writer.DocumentFormat.Pdf, null);
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.
This tutorial showed how to run ICR on an image and output it to a searchable PDF. We also covered how to use the
IOcrPage interfaces, along with the