OCR is an acronym for Optical Character Recognition.
What is ocr text processing. The first usage was back in 1914. Optical character recognition OCR helps meet this need by automating data extraction and conversion of analog text documents to machine readable text. Once we recognise the printed text with the help of OCR we can use that information in various types.
OCR stands for Optical Character Recognition whose primary job is to recognise the printed text in an image. Hard copies and paper documents can thus be converted into computer-readable file formats suitable for. This technique is used to extract text from photos scanned documents images and even video.
OCR optical character recognition is the use of technology to distinguish printed or handwritten text characters inside digital images of physical documents such as a scanned paper document. Understanding how it works can help you take full advantage of its capabilities as part of your automation and process optimization goals. Accept an input image scanned photographed or computer-generated.
Optical character recognition or OCR for short is used to describe algorithms and techniques both electronic and mechanical to convert images of text to machine-encoded text. OCR can also be referred to as text recognition. Optical Mark Recognition OMR is a technique of gathering human input data by recognizing marks or patterns on a document.
OCR as a process generally consists of several sub-processes to perform as accurately as possible. Optical Character Recognition is a business technology that distinguishes printed or handwritten text characters from a scanned document of image files which then examines and converts the characters of a document into code that can be used for data processing. Pre-Processing of the images is done to improve the OCR results.
OCR Technology became popular in the early 1990s while attempting to digitize historic newspapers. OCR Optical Character Recognition. It is a popular technology that can read a machine-printed document.