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2. Optical character recognition - Wikipedia

   en.wikipedia.org/wiki/Optical_character_recognition

   Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. 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 ...

3. Intelligent character recognition - Wikipedia

   en.wikipedia.org/wiki/Intelligent_character...

   Intelligent character recognition (ICR) makes use of continuously improving algorithms to collect more information about the variances in hand-printed characters and more precisely identify them. ICR, which was created in the early 1990s to aid in the automation of forms processing, enables the conversion of manually entered data into text that ...

4. Asprise OCR - Wikipedia

   en.wikipedia.org/wiki/Asprise_OCR

   Asprise OCR is a commercial optical character recognition and barcode recognition SDK library that provides an API to recognize text as well as barcodes from images (in formats like JPEG, PNG, TIFF, PDF, etc.) and output in formats like plain text, XML and searchable PDF. Asprise OCR has been in active development since 1997.

5. Handwriting recognition - Wikipedia

   en.wikipedia.org/wiki/Handwriting_recognition

   The data obtained by this form is regarded as a static representation of handwriting. Offline handwriting recognition is comparatively difficult, as different people have different handwriting styles. And, as of today, OCR engines are primarily focused on machine printed text and ICR for hand "printed" (written in capital letters) text.

6. Tesseract (software) - Wikipedia

   en.wikipedia.org/wiki/Tesseract_(software)

   Tesseract is an optical character recognition engine for various operating systems. [5] It is free software, released under the Apache License. [1] [6] [7] Originally developed by Hewlett-Packard as proprietary software in the 1980s, it was released as open source in 2005 and development was sponsored by Google in 2006.

7. How to identify a fake text message: Online skills 101 - AOL

   www.aol.com/identify-fake-text-message-online...

   Scammers know this, and appeal to it pretty regularly. Fake marketing messages with ridiculous markdowns are a common ploy, for example (no, you aren't getting Louis Vuitton or a PS5 at that price).