![]() As a result, the tire retailer gave their customers the benefit of reduced wait times and a more positive service experience.Īnother out-of-the-box example is Baywatch Technologies, a Utah-based startup. Instead, they leveraged OCR in an unorthodox way- a mobile tire inspection solution their staff used to capture & assess tire type, tread depth & serial numbers- all in under 5 seconds. Numerous applications give you this: Abbyy FineReader PDF, Microsoft Lens & PaperScan.ĭiscount Tire eliminated paper-based processes throughout its 11,000 retail locations. Levering OCR to capture tax documents, business card contacts, and presentations with your smartphone is a widely adopted use case for transcribing business information on the go. Here are a few use cases that may not be so straightforward: Still, OCR is being leveraged in more use cases than just helping with your A/R department. The most common use of optical character recognition in your business would be to convert scanned documentation into a machine-readable text file. Finally, the program displays the recognized text after processing all likely matches. Feature detection is the application of rules regarding the features of a specific letter or number to identify characters in scanned documents. Pattern recognition is used when the program is fed examples of text in various fonts and formats to compare and recognize characters in the scanned document or image file. One of two algorithms-pattern recognition or feature recognition-is then used to identify characters. OCR typically targets one character, word, or text block at a time. Then, the dark areas are processed to find alphabetic letters or numeric digits. ![]() The bitmap undergoes a series of steps: First, it analyzes for light and dark areas, signaling dark areas as characters that need to be recognized. A scanner processes the original document, and OCR software converts the document into a two-color or black-and-white version, a bitmap. ![]() Optical character recognition (OCR) turns the physical form of a document into digital text. How does optical character recognition work? Since then, OCR technology has been implemented in smartphones, used to bust spam & enhance machine learning. In the mid-90s, OCR technology was a common feature in multifunction printers, with Xerox ScanSoft being the first adopter. His invention was the first omni-font optical character recognition system, meaning it could recognize text printed in virtually any font, incorporated with full text-to-speech. This process would eventually be the basis for the first proper OCR technology invented by Ray Kurzweil in 1974, the CCD flatbed scanner. These tones could read the text at a rate of one word per minute. In 1917, the Optophone was invented, which scans printed text and generates audible tones to identify letters. Optical Character Recognition hasn’t always been tied to accelerating workflows or reducing business costs- it started as a tool to help the visually impaired. ![]() Today, we will explore some of the history, benefits & use cases surrounding this technology and look at ways your business could utilize it in the future. The technology has advanced to the point that automated scanners are commonplace in many businesses worldwide. The progress of OCR has been, to say the least, significant. What is Optical Character Recognition? As you might have guessed from the name, OCR is a technology that uses character recognition to scan and process images.
0 Comments
Leave a Reply. |