Optical Character Recognition - definition. What is Optical Character Recognition
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%ما هو (من)٪ 1 - تعريف

COMPUTER RECOGNITION OF VISUAL TEXT
Optical Character Recognition; Character recognition; Character Recognition; Page recognition; Optical recognition; Optical character recognition software; Urdu OCR; Arabic ocr; Text recognition; Zonal OCR; Object character recognition; Optical character reader; Optical character; Applications of optical character recognition; Automated recognition of text in images; Text detection; History of optical character recognition; Digit recognition; Optical word recognition
  • Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner

Optical Character Recognition         
<text> (OCR, sometimes /oh'k*/) Recognition of printed or written characters by computer. Each page of text is converted to a digital using a scanner and OCR is then applied to this image to produce a text file. This involves complex image processing algorithms and rarely achieves 100% accuracy so manual proof reading is recommended. (1999-08-26)
optical character recognition         
¦ noun the identification of printed characters using photoelectric devices and computer software.
Optical character recognition         
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).

ويكيبيديا

Optical character recognition

A process called Optical Character Recognition (OCR) converts printed texts into digital image files. It is a digital copier that uses automation to convert scanned documents into editable, shareable PDFs that are machine-readable. OCR may be seen in action when you use your computer to scan a receipt. The scan is then saved as a picture on your computer. The words in the image cannot be searched, edited, or counted, but you may use OCR to convert the image to a text document with the content stored as text. OCR software can extract data from scanned documents, camera photos, and image-only PDFs. It makes static material editable and does away with the necessity for human data entry.

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.

أمثلة من مجموعة نصية لـ٪ 1
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