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Optical character recognition

Optical character recognition (OCR) or optical character reader 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 landscape photo) or from subtitle text superimposed…

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Overview

History

Applications

Types

Techniques

Workarounds

Accuracy

Unicode

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Map overview Semantic statistics

Optical character recognition

Nodes122
Edges121
Triples40
Avg. degree1.98
Density0.016393
Components1

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Optical character recognition

Top relations

related to history · 11
Optical character recognition → Albe, Concurrently, Early, Edmund Fournier, Emanuel Goldberg, IBM, In, Optophone, Statistical Machine, The, US Patent
related to Types · 11
Optical character recognition → Handwriting, ICR, Instead, Intelligent, IWR, OCR, OCR API, Optical, There, This, Usually
see also · 4
Optical character recognition → Applications, Indian LanguagesOptical, OCR, OCROCR
related to External links · 3
Optical character recognition → Hex Range, Unicode OCR, UnicodeAnnotated

Important terminology Word statistics

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Important terminology

ocr recognition character text image used accuracy characters printed images software example documents one words document fonts glyph cursive optical

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
cognitive computinginstance ofand used in machine processes0.80text
machine translationinstance ofand used in machine processes0.80text
receiptsinstance ofApplicationsOCR engines have been developed into software applications specializing in various subjects0.80text
invoicesinstance ofApplicationsOCR engines have been developed into software applications specializing in various subjects0.80text
checksinstance ofApplicationsOCR engines have been developed into software applications specializing in various subjects0.80text
and legal billing documents.The software can be used forinstance ofApplicationsOCR engines have been developed into software applications specializing in various subjects0.80text
Cuneiforminstance ofNearest neighbour classifiers such as the k-nearest neighbors algorithm are used to compare image features with stored glyph features and choose the nearest match.Software0.80text
Tesseract use a two-pass approach to character recognitioninstance ofNearest neighbour classifiers such as the k-nearest neighbors algorithm are used to compare image features with stored glyph features and choose the nearest match.Software0.80text
Arial or Times New Romaninstance ofSeveral prominent OCR engines were designed to capture text in popular fonts0.80text
and are incapable of capturing text in these fonts that are specializedinstance ofSeveral prominent OCR engines were designed to capture text in popular fonts0.80text
very different from popularly used fontsinstance ofSeveral prominent OCR engines were designed to capture text in popular fonts0.80text
Optical character recognitionrelated to External linksUnicode OCR0.60section

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