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recognize text

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  1. Contrast correction|Documentation

    How to automatically increase image contrast using Aspose.OCR for Python via .NET to improve recognition accuracy....most typical distortions when text is photographed with a smartphone..."result" ) # Recognize the image result = api . recognize ( input...

    docs.aspose.com/ocr/python-net/contrast/
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  2. Recognition settings|Documentation

    How to improve recognition accuracy and tune up Aspose.OCR for JavaScript via C++ engine....list of characters to be recognized, provided as a case-sensitive...handle complex text layouts (multi-column texts, tables, and so...

    docs.aspose.com/ocr/javascript-cpp/settings/
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  3. DetectAreasMode.UNIVERSAL|Documentation

    How Aspose.OCR determines the structure of a document using the DetectAreasMode.UNIVERSAL algorithm....works best with sparse irregular text, including street photos and...screenshots. It detects smaller text areas in an image, such as individual...

    docs.aspose.com/ocr/python-net/areas-detection/...
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  4. DetectAreasMode.UNIVERSAL|Documentation

    How Aspose.OCR determines the structure of a document using the DetectAreasMode.UNIVERSAL algorithm....irregular text and low-quality photos. It detects smaller text areas...more. It can also detect small texts such as notes, signatures or...

    docs.aspose.com/ocr/java/areas-detection/photo/
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  5. Stages of the OMR process|Documentation

    Aspose.OMR for Java supports the complete OMR workflow: designing machine-readable form, generating a printable form, and performing optical mark recognition....the form using the specialized text markup language . Generate Generate...accurate recognition. Recognize Recognize scans or photos of completed...

    docs.aspose.com/omr/java/omr-stages/
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  6. DetectAreasMode.MULTICOLUMN|Documentation

    How Aspose.OCR determines the structure of a document using the DetectAreasMode.MULTICOLUMN algorithm....for handling large amounts of text arranged in multiple columns...detection methods that treat text as a single column, this approach...

    docs.aspose.com/ocr/net/areas-detection/multico...
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  7. Stages of the OMR process|Documentation

    Aspose.OMR for C++ supports the complete OMR workflow: designing machine-readable form, generating a printable questionnaire, and performing optical mark recognition....the form using the specialized text markup language or JSON notation...shared with respondents. Recognize Recognize optical marks on scans...

    docs.aspose.com/omr/cpp/omr-stages/
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  8. QualitySettings|Aspose.BarCode for Python via ....

    Class Libraries & REST APIs for the developers to manipulate & process Files from Word, Excel, PowerPoint, Visio, PDF, CAD & several other categories in Web, Desktop or Mobile apps. Develop & deploy on Windows, Linux, MacOS & Android platforms....High quality barcodes are recognized well in this mode. normal_quality...This preset is developed to recognize all possible barcodes, even...

    docs.aspose.com/barcode/python-net/api-referenc...
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  9. Getting recognition results as JSON|Documentation

    Returning Aspose.OCR for Java recognition results in JSON format....png" ); // Recognize image ArrayList < RecognitionResult...RecognitionResult > results = api . Recognize ( input ); // Save result...

    docs.aspose.com/ocr/java/save-json/
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  10. C++ Barcode Library: Generate and Read QR, Data...

    Add barcode generation and recognition to native C++ applications. Create and scan QR Code, PDF417, Data Matrix, Code 128, and many more with a fast SDK built for Windows and Linux....C++ in a Few Lines Generate Recognize // Create instance of BarcodeGenerator...well as PDF. Use our API to recognize files from scanners or cameras...

    products.aspose.com/barcode/cpp/
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