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recognition

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  1. Noise removal|Documentation

    How to remove dirt, spots, scratches, glare, and other image defects using Aspose.OCR for Python via .NET to improve Recognition accuracy....defects can interfere with recognition, significantly reduce the...images before proceeding to recognition. Noise removal automatically...

    docs.aspose.com/ocr/python-net/denoise/
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  2. Barcode Reading Quality Options and Presets|Doc...

    This article explains how barcode Recognition can be optimized in terms of accuracy and speed using different automatic presets and setting various options...unreadable depending on specific recognition standards. There are different...considerable increase in recognition time. Aspose.BarCode for...

    docs.aspose.com/barcode/python-net/barcode-read...
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  3. Contrast correction|Documentation

    How to automatically increase image contrast using Aspose.OCR for Python via .NET to improve Recognition accuracy....significantly reducing the recognition accuracy. Aspose.OCR can...images before proceeding to recognition. Contrast correction automatically...

    docs.aspose.com/ocr/python-net/contrast/
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  4. Extracting text from receipts|Documentation

    How to digitize scanned receipts by automatically extracting text from them....OCR offers a special recognition algorithm that extracts text...allows you to customize recognition accuracy, performance, and...

    docs.aspose.com/ocr/java/recognition/receipt/
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  5. Extracting text from vehicle license plate imag...

    How to automatically extract text from scanned or photographed vehicle license plates....OCR offers a special recognition algorithm that extracts text...allows you to customize recognition accuracy, performance, and...

    docs.aspose.com/ocr/java/recognition/car-plate/
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  6. Binarization|Documentation

    How to convert an image to black and white either automatically or by manually specifying a threshold....white before performing the recognition, apply OCR_IMG_PREPROCESS_BINARIZE...settings to get more accurate recognition results: Poor quality printouts...

    docs.aspose.com/ocr/cpp/binarization/
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  7. How form elements are recognized|Documentation

    How Aspose.OMR for C++ recognizes different types of elements in forms....markup JSON markup Mapping Recognition result Value Element Name...markup JSON markup Mapping Recognition result Value Element Name...

    docs.aspose.com/omr/cpp/recognition/elements/
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  8. Binarization|Documentation

    How to convert an image to black and white either automatically or by manually specifying a threshold....settings to get more accurate recognition results: Poor quality printouts...text disappears from the recognition results, try manually specifying...

    docs.aspose.com/ocr/javascript-cpp/binarization/
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  9. Defining the blacklist of characters|Documentation

    How to ignore certain image defects that may be incorrectly recognized as characters....and scratches may cause recognition errors. For example, dots...certain characters during recognition, provide them in setIgnoredCharacters...

    docs.aspose.com/ocr/java/characters-blacklist/
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  10. Document areas detection|Documentation

    How Aspose.OCR identifies and analyzes the structure and layout of the image during Recognition....detect_areas_mode parameter of recognition settings . // Provide the...{ source }; // Fine-tune recognition RecognitionSettings settings...

    docs.aspose.com/ocr/cpp/areas-detection/
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