OCR Progress and Performance Tracking

The IronTesseract object has an OcrProgress event that can be used to track OCR progress. We can track progress using the OcrProgressEventArgs object sent to this event after any page of OCR text has finished reading.

This is useful in GUI applications, Web Applications, and CLI alike to keep users informed of how long they may need to wait.

using IronOcr;
using System;

class OcrExample
{
    public static void Main()
    {
        // Instantiation of the IronTesseract object to perform OCR
        var Ocr = new IronTesseract();

        // Event handler to track progress of the OCR process
        Ocr.OcrProgress += OcrProgressHandler;

        // Define the input image for OCR
        var Input = new OcrInput(@"path\to\image.png");

        // Apply necessary image processing methods (e.g., deskewing)
        Input.Deskew(); // Example function to deskew the image

        // Perform OCR on the input image
        var Result = Ocr.Read(Input);

        // Output recognized text to console
        Console.WriteLine(Result.Text);
    }

    // Handler for the OcrProgress event
    private static void OcrProgressHandler(object sender, OcrProgressEventArgs e)
    {
        // Display the progress percentage in console
        Console.WriteLine($"OCR Progress: {e.Progress}%");
    }
}

using IronOcr;
using System;

class OcrExample
{
    public static void Main()
    {
        // Instantiation of the IronTesseract object to perform OCR
        var Ocr = new IronTesseract();

        // Event handler to track progress of the OCR process
        Ocr.OcrProgress += OcrProgressHandler;

        // Define the input image for OCR
        var Input = new OcrInput(@"path\to\image.png");

        // Apply necessary image processing methods (e.g., deskewing)
        Input.Deskew(); // Example function to deskew the image

        // Perform OCR on the input image
        var Result = Ocr.Read(Input);

        // Output recognized text to console
        Console.WriteLine(Result.Text);
    }

    // Handler for the OcrProgress event
    private static void OcrProgressHandler(object sender, OcrProgressEventArgs e)
    {
        // Display the progress percentage in console
        Console.WriteLine($"OCR Progress: {e.Progress}%");
    }
}

Imports IronOcr
Imports System

Friend Class OcrExample
	Public Shared Sub Main()
		' Instantiation of the IronTesseract object to perform OCR
		Dim Ocr = New IronTesseract()

		' Event handler to track progress of the OCR process
		AddHandler Ocr.OcrProgress, AddressOf OcrProgressHandler

		' Define the input image for OCR
		Dim Input = New OcrInput("path\to\image.png")

		' Apply necessary image processing methods (e.g., deskewing)
		Input.Deskew() ' Example function to deskew the image

		' Perform OCR on the input image
		Dim Result = Ocr.Read(Input)

		' Output recognized text to console
		Console.WriteLine(Result.Text)
	End Sub

	' Handler for the OcrProgress event
	Private Shared Sub OcrProgressHandler(ByVal sender As Object, ByVal e As OcrProgressEventArgs)
		' Display the progress percentage in console
		Console.WriteLine($"OCR Progress: {e.Progress}%")
	End Sub
End Class

Code Explanation

• IronOcr Library: The script begins by importing the IronOcr library, which is necessary for OCR operations.
• Main Method:
  • Create an instance of IronTesseract, the main object used for OCR tasks.
  • Attach an event handler OcrProgressHandler to listen for progress updates during the OCR process.
  • Create an OcrInput object by specifying the path to the image file that needs processing.
  • Optionally apply image processing like deskewing to improve OCR accuracy.
  • Call the Read method on the IronTesseract object with the OcrInput to process the image and extract text.
  • The resulting recognized text is printed to the console.
• OcrProgressHandler Method:
  • This function is triggered during the OCR process, providing updates on the completion percentage of the OCR operation.
  • The current progress is printed to the console, keeping the user informed about the OCR progress in real-time.