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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/python-net/performance-opti...
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  2. 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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  3. 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/net/characters-blacklist/
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  4. 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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  5. 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...
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  6. 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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  7. 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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  8. 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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  9. 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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  10. 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/
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