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This page provides an overview of 1 article related to 'optical character recognition'. Note that filters may be applied to display a sub-set of articles in this category (see FAQs on filtering for usage tips). Select this link to remove all filters.

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Optical character recognition, usually abbreviated to OCR, is the mechanical or electronic translation of scanned images of handwritten, typewritten or printed text into machine-encoded text. It is widely used to convert books and documents into electronic files, to computerize a record-keeping system in an office, or to publish the text on a website. OCR makes it possible to edit the text, search for a word or phrase, store it more compactly, display or print a copy free of scanning artifacts, and apply techniques such as machine translation, text-to-speech and text mining to it. OCR is a field of research in pattern recognition, artificial intelligence and computer vision. (Excerpt from Wikipedia article: Optical character recognition)

Key statistics

Metadata related to 'optical character recognition' (as derived from all content tagged with this term):

  • Number of articles referring to 'optical character recognition': 16 (0.9% of published articles)
  • Total references to 'optical character recognition' across all Ariadne articles: 25
  • Average number of references to 'optical character recognition' per Ariadne article: 1.56
  • Earliest Ariadne article referring to 'optical character recognition': 1996-09
  • Trending factor of 'optical character recognition': 16 (see FAQs on monitoring of trends)

See our 'optical character recognition' overview for more data and comparisons with other tags. For visualisations of metadata related to timelines, bands of recency, top authors, and and overall distribution of authors using this term, see our 'optical character recognition' usage charts. Usage chart icon

Top authors

Ariadne contributors most frequently referring to 'optical character recognition':

  1. alan hopkinson (see articles on this topic by this author)
  2. tigran zargaryan (see articles on this topic by this author)
  3. jeanna nikolov-ramirez gaviria (see articles on this topic by this author)
  4. yola park (see articles on this topic by this author)
  5. michael day (see articles on this topic by this author)

Note: Links to all articles by authors listed above set filters to display articles by each author in the overview below. Select this link to remove all filters.

Titlesort icon Article summary Date

Peculiarities of Digitising Materials from the Collections of the National Academy of Sciences, Armenia

Alan Hopkinson and Tigran Zargaryan give an overview of their experience of digitising paper-based materials in the Fundamental Scientific Library of the National Academy of Sciences, Armenia including some of the obstacles encountered during image processing and optical character recognition.

March 2012, issue68, feature article

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by Dr. Radut