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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/net/performance-optimization/
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  2. 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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  3. 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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  4. 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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  5. Extracting text from vehicle license plate imag...

    How to automatically extract text from scanned or photographed vehicle license plates....from vehicle license plate images Contents [ Hide ] Aspose.OCR...OCR offers a special recognition algorithm that extracts text...

    docs.aspose.com/ocr/cpp/vehicle-id-recognition/
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  6. 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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  7. Product overview|Documentation

    An introduction to OCR technology and how Aspose.OCR for Python via C++ can help you use it for your day-to-day business needs....Hide ] Optical character recognition (OCR) technology simplifies...automating the conversion of images into machine-readable text...

    docs.aspose.com/ocr/python-cpp/product-overview/
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  8. 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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  9. 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/
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  10. 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/
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