Recibos de supermercado OCR en C# (Tutorial para desarrolladores)

Implementing Receipt OCR

// Replace the license key variable with the trial key you obtained
IronOcr.License.LicenseKey = "REPLACE-WITH-YOUR-KEY";

// Replace the license key variable with the trial key you obtained
IronOcr.License.LicenseKey = "REPLACE-WITH-YOUR-KEY";

' Replace the license key variable with the trial key you obtained
IronOcr.License.LicenseKey = "REPLACE-WITH-YOUR-KEY"

Example: Reading a Supermarket Receipt

C# Code Implementation

using IronOcr;

class ReceiptScanner
{
    static void Main()
    {
        // Set the license key for IronOCR
        IronOcr.License.LicenseKey = "YOUR-KEY";

        // Instantiate OCR engine
        var ocr = new IronTesseract();

        using var inputPhoto = new OcrInput();
        inputPhoto.LoadImage("supermarketexample.jpg");

        // Perform OCR on the loaded image
        OcrResult result = ocr.Read(inputPhoto);

        // Output the text extracted from the receipt
        string text = result.Text;
        Console.WriteLine(text);
    }
}

using IronOcr;

class ReceiptScanner
{
    static void Main()
    {
        // Set the license key for IronOCR
        IronOcr.License.LicenseKey = "YOUR-KEY";

        // Instantiate OCR engine
        var ocr = new IronTesseract();

        using var inputPhoto = new OcrInput();
        inputPhoto.LoadImage("supermarketexample.jpg");

        // Perform OCR on the loaded image
        OcrResult result = ocr.Read(inputPhoto);

        // Output the text extracted from the receipt
        string text = result.Text;
        Console.WriteLine(text);
    }
}

Imports IronOcr

Friend Class ReceiptScanner
	Shared Sub Main()
		' Set the license key for IronOCR
		IronOcr.License.LicenseKey = "YOUR-KEY"

		' Instantiate OCR engine
		Dim ocr = New IronTesseract()

		Dim inputPhoto = New OcrInput()
		inputPhoto.LoadImage("supermarketexample.jpg")

		' Perform OCR on the loaded image
		Dim result As OcrResult = ocr.Read(inputPhoto)

		' Output the text extracted from the receipt
		Dim text As String = result.Text
		Console.WriteLine(text)
	End Sub
End Class

1. Import the IronOcr library.
2. Instantiate the OCR engine (IronTesseract).
3. Create a new OcrInput to load the image of the receipt.
4. Use the Read method from IronTesseract to extract text.
5. Output the results to the console.

Debugging and Confidence Testing

To ensure consistency, verify the extracted data's confidence level, which determines its accuracy.

OcrResult result = ocr.Read(inputPhoto);
string text = result.Text;
Console.WriteLine(text);
Console.WriteLine($"Confidence: {result.Confidence}");

OcrResult result = ocr.Read(inputPhoto);
string text = result.Text;
Console.WriteLine(text);
Console.WriteLine($"Confidence: {result.Confidence}");

Dim result As OcrResult = ocr.Read(inputPhoto)
Dim text As String = result.Text
Console.WriteLine(text)
Console.WriteLine($"Confidence: {result.Confidence}")

The Confidence property provides a statistical accuracy measure. It ranges from 0 (low confidence) to 1 (high confidence). Adjust your data handling strategies based on these confidence levels for reliability.

Noise Removal and Filtering

Before processing images, use these methods to clean and prepare images for better OCR results:

inputPhoto.DeNoise();      // Removes noise from the image
inputPhoto.ToGrayScale();  // Converts image to grayscale

inputPhoto.DeNoise();      // Removes noise from the image
inputPhoto.ToGrayScale();  // Converts image to grayscale

inputPhoto.DeNoise() ' Removes noise from the image
inputPhoto.ToGrayScale() ' Converts image to grayscale

These preprocessing steps help increase the accuracy of data extraction.

Conclusion

Receipt OCR technology is an asset for businesses and individuals, aiding in budgeting, preventing fraud by verifying transaction details, and automating data collection. IronOCR stands out for its accuracy, speed, and ease of integration with existing platforms, making it an excellent choice for developers aiming to implement receipt scanning solutions.

Try IronOCR's trial license to explore its capabilities.