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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....appearance settings Rotate barcode images as needed Encode and decode...in 2D barcodes Fine-tune recognition engine parameters for better...

    docs.aspose.com/barcode/androidjava/product-ove...
  2. 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 in PHP via Java...computer vision tasks, source image quality is necessary to convert...convert an arbitrary image to machine-readable code. Low-quality...

    docs.aspose.com/barcode/phpjava/barcode-reading...
  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/
  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/
  5. 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...scratches may cause recognition errors. For example, dots or other...

    docs.aspose.com/ocr/java/characters-blacklist/
  6. 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/
  7. Aspose.BarCode Java For Jython|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 their Java...

    docs.aspose.com/barcode/java/aspose-barcode-jav...
  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/
  9. 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-...
  10. 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...relative to each other in recognition results. It is optimal for...

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