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recognize image

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  1. Defining the blacklist of characters|Documentation

    How to ignore certain Image defects that may be incorrectly Recognized as characters....characters Contents [ Hide ] Image defects such as dirt and scratches...letters can be incorrectly recognized as punctuation or diacritical...

    docs.aspose.com/ocr/net/characters-blacklist/
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  2. 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.... These image defects can interfere with recognition...algorithms that remove noise from images before proceeding to recognition...

    docs.aspose.com/ocr/python-net/denoise/
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  3. DetectAreasMode.UNIVERSAL|Documentation

    How Aspose.OCR determines the structure of a document using the DetectAreasMode.UNIVERSAL algorithm....detects smaller text areas in an image, such as individual words, phrases...a versatile option for most images. However, this algorithm is...

    docs.aspose.com/ocr/python-net/areas-detection/...
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  4. Getting the list of misspelled words|Documentation

    How to get the list of misspelled words and replacement suggestions....misspelled words found in an image and their suggested replacements...API api = AsposeOcr () # Add image to the recognition batch input...

    docs.aspose.com/ocr/python-net/misspelled-words...
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  5. Recognition Barcode Quality and Deconvolution M...

    This article explains how barcode recognition can be optimized in terms of accuracy and speed in case of various distortions...utilize advanced algorithms to recognize barcode elements even when...with low-quality barcodes or images. The BarcodeQuality mode improves...

    docs.aspose.com/barcode/javascript-cpp/recognit...
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  6. Conversion to grayscale|Documentation

    How to convert source Images to grayscale before recognition.... Grayscale allows images to be processed more efficiently...and crisper text than color images. Converting to grayscale can...

    docs.aspose.com/ocr/net/grayscale/
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  7. Fast recognition|Documentation

    How to read text from high-quality Images using as few resources as possible....of strings, one string per image. Aspose . OCR . AsposeOcr recognitionEngine...OCR . AsposeOcr (); // Add images to OcrInput object Aspose ...

    docs.aspose.com/ocr/net/fast-recognition/
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  8. DetectAreasMode.MULTICOLUMN|Documentation

    How Aspose.OCR determines the structure of a document using the DetectAreasMode.MULTICOLUMN algorithm....API api = AsposeOcr () # Add image to the recognition batch input...OcrInput ( InputType . SINGLE_IMAGE ) input . add ( "source.png"...

    docs.aspose.com/ocr/python-net/areas-detection/...
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  9. Tracking recognition progress|Documentation

    How to track the process of batch recognition and text extraction from multipage documents....batch processing of multiple images, but also reports information...recognition/processing of each individual image. Aspose . OCR . AsposeOcr recognitionEngine...

    docs.aspose.com/ocr/net/track-progress/
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  10. Color inversion|Documentation

    How to swap colors in an Image to improve recognition accuracy....reversing the colors of the image so that light areas appear dark...that inverts colors in the image before proceeding to recognition...

    docs.aspose.com/ocr/net/invert/
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