Reliable .NET API for Optical Mark Recognition

Aspose.OMR for .NET Installation

Please visit the downloads section of Aspose.OMR for .NET to download the MSI installer or the DLLs to install it. Or, you can use the NuGet package to install the .NET OMR library from the Visual Studio package manager consoles with the following command:

PM > Install-Package Aspose.OMR

Create Survey Forms using JSON Markup and Extract OMR Data from Images in .NET

Create a Survey Form with JSON Markup

Surveys are a great way to collect, analyze, and process in-depth data and information from a selective group of people. They help you understand the shortcomings in your products or services and improve them based on the feedback received. The .NET OMR API enables you to create survey forms using JSON markup in C# .NET and use them as required, as shown in the following code example.

• Create an OmrEngine class instance.
• With the JSON markup file path as an argument, call the GenerateJSONTemplate method.
• Get results as a GenerationResult class object.
• Use the Save method to save survey template images and the OMR template.
• Add the local directory path and the name of the template as method arguments.

// This coding example shows how to generate a Survey image and OMR from JSON markup.
// Path to the JSON file with Template Markup
string markupPath = @"D:\Files\OMR_Surveys\SimpleSurvey.json";

// Initialize OMR engine
OmrEngine engine = new OmrEngine();

// Generate Template
GenerationResult res = engine.GenerateJSONTemplate(markupPath);

// Save to the local disk
res.Save(@"D:\Files\OMR_Surveys\", "SimpleSurvey");

Learn to Extract OMR Data from Images

Performing OMR on images to extract information is a common requirement for developers working with optical mark recognition solutions. The .NET OMR library supports extracting data from raster images using C#, including JPEG, PNG, GIF, BMP, and TIFF. In the following C# coding example, we can learn to recognize and extract OMR data from a JPEG image.

• Instantiate the OmrEngine class.
• Use the GetTemplateProcessor() method and initialize the TemplateProcessor class object. Pass the OMR template file path as an argument.
• Get the RecognitionResult object by calling the RecognizeImage() method.
• Use the GetCsv() method to get recognition results as CSV strings and save the result as a CSV file.

// OMR Template file path
string templatePath = @"E:\Files\OMR_Templates\Sheet.omr";

// Image file path
string imagePath = @"E:\Files\OMR_Images\Sheet1.jpg";

// Initialize OMR Engine
OmrEngine engine = new OmrEngine();

// Get template processor
TemplateProcessor templateProcessor = engine.GetTemplateProcessor(templatePath);

// Recognize image
RecognitionResult result = templateProcessor.RecognizeImage(imagePath);

// Get results in CSV
string csvResult = result.GetCsv();

// Save CSV file
File.WriteAllText(@"E:\Files\OMR_OutPut\Sheet1.csv", csvResult);

Read, Analyze, and Recognize OMR Data Independently in .NET