Extracting text from street photos
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To use this recognition method, install sparse text recognition model (aspose-ocr-text-in-wild-v1) in your project.
Aspose.OCR offers a special recognition algorithm for extracting content from images with sparse text and noisy/colored backgrounds. This method significantly improves OCR accuracy in the following business cases:
- Read text from street photos.
- Segment and identify road signs and signboards within street images.
- Locate price tags and interpret the extracted text as prices.
- Find and aggregate regions of interest on food labels, such as nutritional information or ingredient lists.
- Identify and analyze car license plates.
- Extract text from menus and catalogs.
To extract text from such images, use RecognizeStreetPhoto() 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("photo1.png");
input.Add("photo2.png");
// Recognize images
List<Aspose.OCR.RecognitionResult> results = recognitionEngine.RecognizeStreetPhoto(input);
foreach(Aspose.OCR.RecognitionResult result in results)
{
Console.WriteLine(result.RecognitionText);
}
Live demo
Limitations
- The method only supports Latin letters and numbers.
- This method does not support recognition settings.