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Aspose.OCR for Python via C++ 24.3.0 (macOS x64) lets you extract text from receipts and vehicle license plates with enhanced accuracy and customizable settings as part of its advanced OCR features. This code sample highlights how to extract vehicle license plate text in Python.
import asposeocr ''' add image to the recognition batch ''' images = [asposeocr.AsposeOCRInput()] images[0].url = 'photo.png' ''' recognize the image ''' settings = asposeocr.RecognitionSettings() recognition_result = asposeocr.AsposeOCRRecognizeVehicleLicensePlate(images, settings) recognition_text = asposeocr.AsposeOCRSerializeResult(recognition_result, asposeocr.ExportFormat.text) print(result[0].recognition_text)
Source*
Automatically detect image defects like salt-and-pepper noise, low contrast, and blurry images during recognition to optimize accuracy using the latest release of the Python OCR API release.
Code example:
import asposeocr ''' add image to the recognition batch ''' images = [asposeocr.AsposeOCRInput()] images[0].url = 'image.png' ''' detect image defects and recognize the image ''' settings = asposeocr.RecognitionSettings() settings.defects = asposeocr.DefectType.SALT_PEPPER_NOISE | asposeocr.DefectType.DARK_IMAGES recognition_result = asposeocr.AsposeOCRRecognizeVehicleLicensePlate(images, settings)
Easily log OCR progress to the console or a file and process recognition tasks using multiple threads for faster performance on macOS x64.
import asposeocr log_settings = asposeocr.AsposeOCRLogSettings() log_settings.logging_level = asposeocr.LogLevel.WARNING
AsposeOCRRecognizeVehicleLicensePlate()
AsposeOCRRecognizeReceipt()
DefectType
AsposeOCRLogSettings
AsposeOCRSetAllowedThreadNumber()
AsposeOCRGetAllowedThreadNumber()
You can view the list of all new features, enhancements, and bug fixes introduced in this release by visiting Aspose.OCR for Python via C++ 24.3.0 Release Notes.