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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.
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)
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| Title | 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 |
