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image recognition

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  1. Extracting text inside a rectangle|Documentation

    Extract text located inside areas of the Image provided by coordinates....from certain areas of uniform images, such as ID cards, visas, driver’s...from one or more areas of an image, provide a list of Rectangle...

    docs.aspose.com/ocr/java/image-regions-extract/
  2. Product overview|Documentation

    An introduction to OCR technology and how Aspose.OCR for C++ can help you use it for your day-to-day business needs....Hide ] Optical character recognition (OCR) technology is the key...text in a photo or scanned image instead of manually retyping...

    docs.aspose.com/ocr/cpp/product-overview/
  3. 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/java/characters/
  4. 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/net/characters/
  5. Convert Handwriting to Text using Python

    Follow this article for converting handwriting into text using Python. It has the details to set the environment, a list of steps, and a sample code to scan handwriting to text using Python....Imaging Product Family Aspose.BarCode...handwritten notes from the loaded PNG image and convert them into searchable...

    kb.aspose.com/ocr/python/convert-handwriting-to...
  6. 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/
  7. 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/
  8. 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/
  9. 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...
  10. Conversion to grayscale|Documentation

    How to convert source Images to grayscale using Aspose.OCR for Python via .NET before Recognition....color is not needed for recognition and can even mislead OCR...algorithms. Grayscale allows images to be processed more efficiently...

    docs.aspose.com/ocr/python-net/grayscale/