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image recognition

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  1. 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/java/performance-optimization/
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  2. 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/net/denoise/
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  3. 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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  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. Skew correction|Documentation

    How to straighten a rotated Image to improve Recognition accuracy....scanned images or photographs. Skew angle detection and image straightening...correct image tilt (deskew) before proceeding to recognition. Automatic...

    docs.aspose.com/ocr/javascript-cpp/deskew/
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  6. DetectAreasMode.TABLE|Documentation

    How Aspose.OCR determines the structure of a document using the DetectAreasMode.TABLE algorithm....models ( aspose-ocr-advanced-recognition-v1 ) in your project. When...detects tabular structures on an image and extracts text from cells...

    docs.aspose.com/ocr/python-net/areas-detection/...
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  7. 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/
    more..

  8. Document areas detection|Documentation

    How Aspose.OCR for JavaScript via C++ identifies and analyzes the structure and layout of the Image during Recognition....Contents [ Hide ] A scanned image or photograph of a text document...parameter of recognition settings . // Prepare images var source...

    docs.aspose.com/ocr/javascript-cpp/areas-detect...
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  9. 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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  10. Aspose.OMR for C++ form structure|Documentation

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

    docs.aspose.com/omr/cpp/omr-form-structure/
    more..