Optical Character Recognition (OCR) in C#

This post will help you to create an OCR application in C#. For this, I will be using Visual Studio 2013 and Puma.NET. Before creating the project you need to install Puma.NET on your computer. You can download Puma.NET from here.

Optical Character Recognition (OCR) in C#

This post will help you to create an OCR application in C#. For this, I will be using Visual Studio 2013 and Puma.NET. Before creating the project you need to install Puma.NET on your computer. You can download Puma.NET from here.

Note: I suggest using Tesseract OCR over Puma.NET. Tesseract OCR is more accurate and easier to use. If you like to use Tesseract OCR, read this article about Optical Character Recognition in C# using Tesseract.
Optical Character Recognition in C# using Tesseract - Mishel
In this post, I’ll demonstrate how to use Tesseract to build an Optical Character Recognition (OCR) application in C#.
  • Create a Windows Forms Application and add a Button and RichTextBox to the form.
  • Right click on Project -> Add References.
  • Select Browse and add Puma.Net.dll from the Assemblies folder under the installation path of Puma.NET.
  • Click on Build to build your project.
  • Open Debug folder of the project and there will be  puma.interop.dll and Puma.Net.dll in the folder.
  • Copy dibapi.dl (C:\ProgramFiles (x86)\Puma.NET\Assemblies) to the Debug folder of your project. This is how the Debug folder will look like.
  • Double click on the Browse button to create an event handler for the button and add this code.
OpenFileDialog file = new OpenFileDialog();
file.Multiselect = false;
if (file.ShowDialog() == DialogResult.OK)
{
    string path = file.FileName;
    if (!string.IsNullOrEmpty(path))
    {
        Puma.Net.PumaPage input = new Puma.Net.PumaPage(path);
        input.FileFormat = Puma.Net.PumaFileFormat.TxtAscii;
        input.Language = Puma.Net.PumaLanguage.English;
        string result = input.RecognizeToString();
        input.Dispose();
        richTextBox1.Text = result;
    }
}
  • Run the application and click on the Button and select an image which contains text.

Download Source code.


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