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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. Sumatra PDF - Wikipedia

   en.wikipedia.org/wiki/Sumatra_PDF

   Sumatra PDF is a free and open-source document viewer that supports many document formats including: Portable Document Format (PDF), Microsoft Compiled HTML Help (CHM), DjVu, EPUB, FictionBook (FB2), MOBI, PRC, Open XML Paper Specification (OpenXPS, OXPS, XPS), and Comic Book Archive file (CB7, CBR, CBT, CBZ). [3]

4. Google Books - Wikipedia

   en.wikipedia.org/wiki/Google_Books

   The extraction of text from page images is a difficult engineering task. Smudges on the physical books' pages, fancy fonts, old fonts, torn pages, etc. can all lead to errors in the extracted text. Imperfect OCR is only the first challenge in the ultimate goal of moving from collections of page images to extracted-text based books.

5. OCR - Wikipedia

   en.wikipedia.org/wiki/OCR

   Download as PDF; Printable version; In other projects Wikidata item; Appearance. ... OCR may refer to: Science and technology. Optical character recognition, ...

6. Book scanning - Wikipedia

   en.wikipedia.org/wiki/Book_scanning

   Internet Archive Scribe book scanner in 2011 Internet Archive book scanner. Book scanning or book digitization (also: magazine scanning or magazine digitization) is the process of converting physical books and magazines into digital media such as images, electronic text, or electronic books (e-books) by using an image scanner. [1]

7. Comparison of optical character recognition software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_optical...

   A 2016 analysis of the accuracy and reliability of the OCR packages Google Docs OCR, Tesseract, ABBYY FineReader, and Transym, employing a dataset including 1227 images from 15 different categories concluded Google Docs OCR and ABBYY to be performing better than others.