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  2. Examples of optical character recognition (OCR) include123:
    • Text extraction tools
    • PDF to .txt converters
    • Google’s image search function
    • Automatic license/number plate recognition (ALPR/ANPR)
    • Traffic sign recognition
    • Analyzing and defeating CAPTCHAs on websites
    • Extracting information from business cards
    • Recognizing texts from natural scenes such as street signs, storefronts, or license plates
    Learn more:
    Examples of OCR engines are text extraction tools, PDF to.txt converters, and Google’s image search function.
    viso.ai/computer-vision/optical-character-recognitio…
    OCR applications have evolved significantly since then, including (but not limited to): Automatic license/number plate recognition (ALPR/ANPR) Traffic sign recognition Analyzing and defeating CAPTCHAs (Completely Automated Public Turing tests to tell Computers and Humans Apart) on websites Extracting information from business cards
    pyimagesearch.com/2021/08/09/what-is-optical-ch…

    OCR can perform a range of tasks, including:

      www.superannotate.com/blog/ocr-overview-and-us…
       
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      Optical character recognition - Wikipedia

      Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and billboards in a … See more

      Early optical character recognition may be traced to technologies involving telegraphy and creating reading devices for the blind. In 1914, Emanuel Goldberg developed a machine that read … See more

      • Optical character recognition (OCR) – targets typewritten text, one glyph or character at a time.
      • Optical word recognition – targets typewritten text, one word at a time (for languages that use a space as a word divider). … See more

      There are several techniques for solving the problem of character recognition by means other than improved OCR algorithms.
      Forcing better input
      Special fonts like OCR-A, OCR-B, or MICR fonts, … See more

      Accuracy image

      OCR engines have been developed into software applications specializing in various subjects such as receipts, invoices, checks, and … See more

      Pre-processing
      OCR software often pre-processes images to improve the chances of successful recognition. Techniques include:
      • De- See more

      Commissioned by the U.S. Department of Energy (DOE), the Information Science Research Institute (ISRI) had the mission to foster the improvement of automated technologies for understanding machine printed documents, and it conducted the most authoritative … See more

       
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