This tutorial shows how to create a C# Windows Console application that runs ICR recognition to recognize handwritten text on a given image using the LEADTOOLS SDK.
|Summary||This tutorial covers how to use LEADTOOLS Recognition SDK technology in a C# Windows Console application.|
|Completion Time||30 minutes|
|Visual Studio Project||Download tutorial project (3 KB)|
|Platform||Console C# 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 - Console C# tutorial.
In Visual Studio, create a new C# Windows Console project, and add the following necessary LEADTOOLS references.
The references needed depend upon the purpose of the project. References can be added by one or the other of the following two methods (but not both). For this project, the following references are needed:
If using NuGet references, this tutorial requires the following NuGet package:
If local DLL references are used, the following DLLs are needed. The DLLs are located at
For a complete list of which Codec DLLs are required for specific formats, refer to File Format Support.
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 and local 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 Solution Explorer, open
Program.cs. Add the following statements to the
using block at the top:
// Using block at the top
Add a new method called
RunICR and call it in the
Main method after the
SetLicense call. Add the code below to run Intelligent Character Recognition on the loaded image and export the results to a searchable PDF.
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);
for (int i = 0; i < _ocrPage.Zones.Count; i++)
OcrZone _zone = _ocrPage.Zones[i];
_zone.ZoneType = OcrZoneType.Icr;
ocrDocument.Save(@"C:\LEADTOOLS21\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 application will auto-zone the loaded image, run ICR, then output the recognized image to a searchable PDF. This tutorial uses the sample image from this file path:
This tutorial showed how to run ICR on an image and output to a searchable PDF. Also it covered how to use the