Optical Character
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A Optical Character is an Image that represents textual data.
- Context:
- It can be converted into a Computer Character by a Optical Character Recognition (OCR) System.
- Example(s):
- Counter-Example(s):
- See: Glyph, ISO/IEC 646, ASCII, ISO 8859, Unicode, Character Encoding Decoding System, Markup Language, Text Processing System, Text Editing System, Text Error Correction System, Character-Level Language Model.
References
2020
- (Wikipedia, 2020) ⇒ https://en.wikipedia.org/wiki/Optical_character_recognition Retrieved:2020-2-17.
- 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 billboards in a landscape photo) or from subtitle text superimposed on an image (for example from a television broadcast). Widely used as a form of data entry from printed paper data records – whether passport documents, invoices, bank statements, computerized receipts, business cards, mail, printouts of static-data, or any suitable documentation – it is a common method of digitizing printed texts so that they can be electronically edited, searched, stored more compactly, displayed on-line, and used in machine processes such as cognitive computing, machine translation, (extracted) text-to-speech, key data and text mining. OCR is a field of research in pattern recognition, artificial intelligence and computer vision. Early versions needed to be trained with images of each character, and worked on one font at a time. Advanced systems capable of producing a high degree of recognition accuracy for most fonts are now common, and with support for a variety of digital image file format inputs. Some systems are capable of reproducing formatted output that closely approximates the original page including images, columns, and other non-textual components.