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image recognition

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  1. 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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  2. 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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  3. Content areas detection|Documentation

    How Aspose.OCR identifies and analyzes the structure and layout of the Image during Recognition....Contents [ Hide ] A scanned image or photograph of a text document...DetectAreasMode parameter of recognition settings . # Instantiate...

    docs.aspose.com/ocr/python-net/areas-detection/
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  4. Supported file formats|Documentation

    File formats for Images and Recognition results supported by Aspose.OCR for Python via Java....Contents [ Hide ] Recognized image formats Aspose.OCR for Python...transparency. .TIFF or .TIF Tag Image File Format, commonly used for...

    docs.aspose.com/ocr/python-java/supported-file-...
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  5. Different Input Sources|Documentation

    Learn how to use BarCodeReader with file paths, streams, Images, and in-memory data in Aspose.BarCode for Java....Contents [ Hide ] Barcode Recognition from Different Input Sources...you to integrate barcode recognition into file-based workflows...

    docs.aspose.com/barcode/java/developer-guide/ba...
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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. Product overview|Documentation

    An introduction to OCR technology and how Aspose.OCR for Node.js via C++ can help you use it for your day-to-day business needs....Hide ] Optical character recognition (OCR) technology streamlines...by automatically converting images to machine-readable text. Employing...

    docs.aspose.com/ocr/nodejs-cpp/product-overview/
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  8. Supported file formats|Documentation

    File formats for Images and Recognition results supported by Aspose.OCR for JavaScript via C++....Contents [ Hide ] Recognized image formats Aspose.OCR for JavaScript...Network Graphics. Supports 24-bit images with transparency. TIFF ( ...

    docs.aspose.com/ocr/javascript-cpp/supported-fi...
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  9. 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/
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  10. 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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