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 AsposeOCR class.
The method takes OcrInput object and returns a RecognitionResult object containing the text from images.
AsposeOCR api = new AsposeOCR();
// Load photos
OcrInput input = new OcrInput(InputType.SingleImage);
input.add(os.path.join(self.dataDir, "photo1.png"));
input.add(os.path.join(self.dataDir, "photo2.png"));
// Recognize text
ArrayList<RecognitionResult> results = api.RecognizeStreetPhoto(input);
results.forEach((result) -> {
System.out.println(result.recognition_text);
});
Live demo
Limitations
- The method only supports Latin letters and numbers.
- This method does not support recognition settings.