Optical Character Recognition (OCR) plays a very important role in transforming printed materials into digital text files. This technology today is embedded in many applications, websites, and content management systems. In fact, we professionals often take the process of making a scanned file searchable for granted, but you probably didn't know what software was behind it. For this reason, in this article we will tell you everything you need to know about OCR .
Keep reading! It may interest cell numbers list you: Master in Industry 4.0 INDEX OF CONTENTS What is OCR? Optical Character Recognition or OCR is a widespread technology used to recognize text within images, such as scanned documents or photographs. OCR technology is used to convert virtually any type of image that contains written text (typed, handwritten, or printed) into readable text data. It is a commercial solution for automating the extraction of data from printed or written text from a file and then converting the text into a machine-readable format for use in data processing, such as editing or searching. The basic process is to examine the text of a document and translate the characters into a code that can be used for data processing.
OCR is sometimes also known as text recognition. OCR systems are a combination of hardware and software . Hardware, such as an optical scanner, is used to copy or read text, while software typically handles advanced processing. The software can also take advantage of artificial intelligence (AI) to implement more advanced intelligent character recognition (ICR) methods, such as identifying languages or handwriting styles. EBOOK Everything you need to know about RPA Discharge The history of optical character recognition OCR has its roots in telegraphy. Shortly before the start of World War I, physicist Emanuel Goldberg invented a machine that could read characters and convert them into telegraph code. In the 1920s, he went a step further and created the first electronic document retrieval system. At the time, companies were microfilming financial records, but quickly retrieving specific records from reels of film was nearly impossible. To overcome this, Goldberg used a photoelectric cell to recognize patterns with the help of a movie projector. By reusing existing technologies, he took the first steps toward automating record keeping. The US patent for his "Statistical Machine" was later purchased by IBM. Since then, OCR technology has proliferated, and companies around the world rely on it to help reduce overhead when it comes to converting data extracted from paper documents.
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