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hOCR is an open standard of data representation for formatted text obtained from optical character recognition (OCR). The definition encodes text, style, layout information, recognition confidence metrics and other information using Extensible Markup Language (XML) in the form of Hypertext Markup Language (HTML) or XHTML.
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 ...
Layout analysis software, that divide scanned documents into zones suitable for OCR; Graphical interfaces to one or more OCR engines; Software development kits that are used to add OCR capabilities to other software (e.g. forms processing applications, document imaging management systems, e-discovery systems, records management solutions)
Earliest ideas of optical character recognition (OCR) are conceived. Fournier d'Albe's Optophone and Tauschek's Reading Machine are developed as devices to help the blind read. [1] 1931–1954 First OCR tools are invented and applied in industry, able to interpret Morse code and read text out loud.
At the heart of eScriptorium is the free OCR software Kraken by Benjamin Kiessling, a derivative of the OCR software OCRopus, which is suitable for handwritten and printed texts and also supports scripts such as Hebrew and Arabic, which are written from right to left.
Examples of top-down approaches include the recursive X-Y cut algorithm, which decomposes the document in rectangular sections. [5] There are two issues common to any approach at document layout analysis: noise and skew. Noise refers to image noise, such as salt and pepper noise or Gaussian noise. Skew refers to the fact that a document image ...
A partly redacted German cheque, showing use of ⑂, ⑀ and ⑁ in the machine-readable line. The OCR-A subheading contains six characters taken from the OCR-A font described in the ISO 1073-1:1976 standard: U+2440 ⑀ OCR HOOK, U+2441 ⑁ OCR CHAIR, U+2442 ⑂ OCR FORK, U+2443 ⑃ OCR INVERTED FORK, U+2444 ⑄ OCR BELT BUCKLE, and U+2445 ⑅ OCR BOW TIE.
OCRopus is a free document analysis and optical character recognition (OCR) system released under the Apache License v2.0 with a very modular design using command-line interfaces. OCRopus is developed under the lead of Thomas Breuel from the German Research Centre for Artificial Intelligence in Kaiserslautern , Germany and was sponsored by Google .