Aspose.OMR.Handwriting 24.4.0

Handwritten input recognition API for Aspose.OMR for .NET

Overview | Documentation | Online apps | Blog | Free support | Temporary license

This extension to Aspose.OMR for .NET adds support for handwritten text input to machine-readable OMR forms. Free-form text text recognition allows to create more dynamic and adaptive forms that can capture a wide range of responses without the need for an exhaustive list of predefined answers.

The package requires Aspose.OMR for .NET library to function properly.

Please note: At the moment, the library only supports Latin letters (A-Z) and Western Arabic numerals (0-9).

API overview

Aspose.OMR for .NET Handwriting Reader extends any answer sheets, surveys, applications, ballots, and other machine-readable forms with free-text input elements and optical character recognition (OCR/ICR) of handwritten user input. While the handwritten text recognition might not be as accurate as standard optical mark recognition, it is more intuitive, user-friendly, and versatile in a number of applications:

• Creating more compact and space-efficient forms, making efficient use of limited page space.
• Rapidly creating surveys and quizzes without the need for extensive categorization of information into predefined choices.
• Appealing to a broader audience, by allowing respondents to write their answers rather than selecting close-ended options.
• Automatically digitizing free-form responses into machine-readable text without the need for additional OCR libraries.

Markup languages

Aspose.OMR for .NET offers several ways to design OMR forms of any layout and complexity. They all work equally well and produce the same results - just choose the approach that you are most comfortable with.

• Text markup
• JSON markup
• Building forms programmatically

Supported file formats

Handwritten input recognition API for Aspose.OMR for .NET can generate machine-readable forms in all popular formats. The format is intellectually selected based on the provided extension:

• PDF
• JPEG
• PNG
• TIFF
• GIF
• BMP

The library can read just about any image that you get from a scanner or camera:

• PDF
• JPEG
• PNG
• TIFF
• GIF
• BMP

Recognition results are returned in the most popular document and data exchange formats:

• JSON
• XML
• Comma-separated values (CSV)

Get started

To incorporate handwritten support functionality into Aspose.OMR for .NET engine, use Aspose.OMR.Api.OmrEngine.AddPlugin() method:

Aspose.OMR.Api.OmrEngine omrEngine = new Aspose.OMR.Api.OmrEngine();
engine.AddPlugin(new HandwritingPlugin());

Adding free-text input element to the page

Use the text_input markup element. You can combine it with any other existing Aspose.OMR elements to design machine-readable forms of any layout and complexity.

?text_input=Year
	length=4
	input_type=numbers
	cell_size=large

Reading completed forms

1. Scan or take a photo of the filled form (the entire sheet with all crop marks) and save the file to your computer.
2. Copy the previously generated recognition pattern into your project.
3. Use the following code to recognize marks and handwritten characters:

using System;

namespace HelloOMR
{
	internal class Program
	{
		static void Main(string[] args)
		{
			Aspose.OMR.Api.OmrEngine omrEngine = new Aspose.OMR.Api.OmrEngine();
			Aspose.OMR.Api.TemplateProcessor templateProcessor = omrEngine.GetTemplateProcessor("pattern.omr");
			Aspose.OMR.Model.RecognitionResult recognitionResult = templateProcessor.Recognize("form.jpg");
			string result = recognitionResult.GetCsv();
			Console.WriteLine(result);
			Console.ReadLine();
		}
	}
}

Now run the program. You should see results of the recognition in the console output:

Element Name,Value,
Year,"2024"

Learn more

• Documentation
• API Reference
• Examples
• Blog
• Free Support Forum
• Paid Support Helpdesk