![]() This involves feeding the program samples of text in a range of fonts and formats and then comparing the characters in the image to identify them. The system then identifies characters by employing either of the following algorithms: Pattern recognition ![]() There are multiple techniques that can be used for this purpose, but they generally tend to involve analyzing a single character, word, or block of text at a time. The dark areas as classified as characters while the light areas are classified as background.Īfter that, the OCR system analyses and processes the dark areas further to identify characters or numbers. The scanned-in image or bitmap will then be analyzed for light and dark areas. After all the pages are copied, the document is converted into a black & white or two-color version. Optical character recognition starts with processing the physical form of the document with a scanner. How does an optical character recognition work? The chatbot would use the OCR technology to understand the contents of the bill and assign loyalty points to the customers directly over the chatbot, making it unnecessary for the customer to download their app or visit their website, thus reducing the customer effort involved. When customers made purchases, they would be able to click pictures of their bill on their mobile phones and send them to the chatbot. We integrated OCR technology into their Engati chatbot, allowing them to use it to simplify their loyalty program. Our client, Mall of the Emirates, used OCR technology in a rather interesting manner. It is also used for sorting letters for mail delivery. ![]() Optical character recognition is also used to translate words from an image into other languages. It can also be used to automatically recognize text like license numbers from the pictures of license plates captured by road traffic cameras. It is also used for indexing print material for search engines and even for deciphering documents into text that can be read aloud to visually impaired users.Īnother important use for OCR is depositing checks electronically without any need for a bank teller. Optical character recognition is also used as a business solution for the automation of data extraction from printed or written text from a scanned document or image file and then converting the text into a machine-readable form so that it can be used for data processing like editing or searching. What is optical character recognition used for? ![]() After that is done, users are able to edit, format, and search the document as though it was created with a word processor. Optical character recognition is typically used for the purpose of turning hard copy legal documents or historical documents into PDFs. The software used could also employ artificial intelligence to implement far more advanced methods of intelligent character recognition (ICR), such as identifying languages or styles of handwriting. Hardware like optical scanners or specialized circuit boards is used for copying or reading ext, while the software handles the advanced processing aspect. It involves examining the text of a document and translating the characters into code that can later be used for the purpose of data processing.Īn optical character recognition system will be made up of hardware as well as software that is utilized for converting physical documents into machine-readable text. While OCR can recognize words in the image being scanned, it cannot derive the meaning of those words. Optical character recognition (OCR) is also called text recognition. Optical character recognition is the process of using technology to distinguish printed or handwritten text characters inside digital images of physical documents, like scanned paper documents.
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