Extracting handwritten text

To use this recognition method, install handwritten text recognition (aspose-ocr-handwriting-v1) in your project.

Aspose.OCR offers a special recognition algorithm for extracting handwritten text from images. It supports a number of European languages based on Extended Lain alphabet. Handwritten recognition has various business, government and personal applications:

• Extract text from notes, memos and letters.
• Convert historical records and documents into digital formats for archival purposes.
• Parse resumes and employee records.
• Analyze information from handwritten inventory lists to maintain accurate and up-to-date databases.
• Analyze customer feedback and reviews to gain insights into customer preferences.
• And many more.

To extract handwritten text from images, use RecognizeHandwrittenText() method of Aspose.OCR.AsposeOcr class.

The method takes OcrInput object and returns a RecognitionResult object containing the text from images.

Aspose.OCR.AsposeOcr recognitionEngine = new Aspose.OCR.AsposeOcr();
// Add images to OcrInput object
Aspose.OCR.OcrInput input = new Aspose.OCR.OcrInput(Aspose.OCR.InputType.SingleImage);
input.Add("memo1.png");
input.Add("memo2.png");
// Recognize images
List<Aspose.OCR.RecognitionResult> results = recognitionEngine.RecognizeHandwrittenText(input);
foreach(Aspose.OCR.RecognitionResult result in results)
{
	Console.WriteLine(result.RecognitionText);
}

Live demo

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Limitations

• The method only supports a limited subset of Extended Latin letters and numbers.
• Both uppercase and lowercase letters are recognized. However, the resulting text will be in uppercase.
• This method does not support recognition settings. The recognition language is detected automatically.