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image recognition

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  1. Identifying the characters|Documentation

    Detecting the characters in an Image....list of characters found in an image and provide 4 less likely alternatives...This list is provided in recognition_characters_list property...

    docs.aspose.com/ocr/python-net/characters-ident...
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  2. Noise removal|Documentation

    How to remove dirt, spots, scratches, glare, and other Image defects to improve Recognition accuracy.... These image defects can interfere with recognition, significantly...noise from images before proceeding to recognition. Noise removal...

    docs.aspose.com/ocr/javascript-cpp/denoise/
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  3. Extracting text from passport images|Documentation

    How to digitize scanned or photographed passports by automatically extracting text from them....passport images Contents [ Hide ] To use this recognition method...method, install sparse text recognition model ( aspose-ocr-text-in-wild-v1...

    docs.aspose.com/ocr/net/recognition/passport/
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  4. Color inversion|Documentation

    How to swap colors in an Image to improve Recognition accuracy....other dark) background, recognition accuracy may suffer. It can...reversing the colors of the image so that light areas appear dark...

    docs.aspose.com/ocr/java/invert/
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  5. Product Overview|Documentation

    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....reliable barcode generation and recognition component written in Java...add barcode generation and recognition functionality to Java applications...

    docs.aspose.com/barcode/java/product-overview/
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  6. Dewarping|Documentation

    How to straighten curved and distorted Images using Aspose.OCR for Python via .NET before Recognition.... Warped images are very hard to be processed...most OCR algorithms. Thus, image straightening and distortion...

    docs.aspose.com/ocr/python-net/dewarp/
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  7. Performance optimization|Documentation

    Increase Recognition speed and optimize resource usage....very flexible balancing of recognition speed, quality, and resource...case: Fast recognition for simple and clear images, such as high-quality...

    docs.aspose.com/ocr/net/performance-optimization/
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  8. Aspose.OMR for Java form structure|Documentation

    The layout and structure of the Aspose.OMR for Java machine-readable forms and the meaning of their core elements....structure that allows the recognition engine to reliably associate...superior recognition accuracy regardless of the image quality...

    docs.aspose.com/omr/java/omr-form-structure/
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  9. Extracting lines with coordinates|Documentation

    Automatic detection of line bounding boxes during Recognition....of each extracted line in recognition results. This can be useful...detected lines when previewing an image. The lines are returned as a...

    docs.aspose.com/ocr/python-net/image-line-extract/
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  10. Noise removal|Documentation

    How to remove dirt, spots, scratches, glare, and other Image defects to improve Recognition accuracy....noise removal, install smart image processing ( aspose-ocr-adv...photographs. These image defects can interfere with recognition, significantly...

    docs.aspose.com/ocr/java/denoise/
    more..