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recognition

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  1. Aspose.OMR form structure|Documentation

    The layout and structure of the Aspose.OMR for .NET printable form and the meaning of its key elements....structure that allows the recognition engine to reliably associate...layout to provide superior recognition accuracy of multi-page forms...

    docs.aspose.com/omr/net/omr-form-structure/
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  2. 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 ignoredCharacters...

    docs.aspose.com/ocr/cpp/characters-blacklist/
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  3. Image Preprocessing via C# | Aspose

    Preprocess image and save result as a new image....NET Recognition Preprocess HTML JPG OCR JSON...Preprocess image before recognition using Aspose.OCR for .NET...

    products.aspose.com/ocr/net/recognition/preproc...
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  4. 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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  5. detect_areas_mode_enum::CURVED_TEXT|Documentation

    How Aspose.OCR determines the structure of a document using the detect_areas_mode_enum::CURVED_TEXT algorithm....install aspose-ocr-advanced-recognition-v1 and aspose-ocr-advanced-preprocessing-v1...aspose-ocr-advanced-preprocessing-v1 recognition model in your project. When photographing...

    docs.aspose.com/ocr/cpp/areas-detection/curved_...
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  6. 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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  7. 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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  8. 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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  9. 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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  10. Product Features|Documentation

    Product Features of Aspose.BarCode for .NET: Barcode Generation, Recognition, Customization of Barcode Appearance-Related Parameters...high-throughput barcode generation and recognition. Supports multi-core processing...WPF applications. Barcode Recognition Features The BarCodeReader...

    docs.aspose.com/barcode/net/product-features/
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