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image recognition

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  1. Supported file formats|Documentation

    File formats supported by Aspose.OMR for C++ for printing templates, scaning or taking a photo of completed forms, and returning Recognition results....by adding images, such as logos or photos. The images are provided...format for digital images. Small file size, but image quality may be...

    docs.aspose.com/omr/cpp/supported-file-formats/
  2. Defining recognized characters|Documentation

    Defining allow- and denylist of characters that Aspose.OCR looks for.... However, a typical image contains no more than half of...accuracy and performance of recognition by specifying which characters...

    docs.aspose.com/ocr/javascript-cpp/characters/
  3. 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/python-net/performance-opti...
  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...source image quality is crucial to convert an arbitrary image to...machine-readable code. Low-quality barcode images may result being unreadable...

    docs.aspose.com/barcode/python-net/barcode-read...
  5. Binarization|Documentation

    How to convert an Image to black and white either automatically or by manually specifying a threshold....always uses black and white images to detect text and perform...Automatically converting the image to black and white By default...

    docs.aspose.com/ocr/net/binarization/
  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/...
  7. Multithreading support|Documentation

    Optimize the resource usage by limiting the number of threads used by Aspose.OCR for Java Recognition engine....the recognition engine. This may slow down the recognition speed...processes such as the parallel image processing, web server, database...

    docs.aspose.com/ocr/java/multithreading/
  8. 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/
  9. Fast and reliable OCR API based on Aspose.OCR f...

    Integrate robust optical character Recognition (OCR) into your Python applications using Aspose.OCR for Python via C++.... Seamlessly convert images and PDFs into editable text...speed and accuracy. Image to Text Recognition with Python OCR import...

    products.aspose.com/ocr/python-cpp/
  10. Multithreading support|Documentation

    Optimize the resource usage and increase performance by setting the number of threads used by Aspose.OCR for C++ Recognition engine....number of threads used by the recognition engine. With it, you can...parallel processes such as image processing, background data...

    docs.aspose.com/ocr/cpp/multithreading/