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A multiline optical-character reader, or MLOCR, is a type of mail sorting machine that uses optical character recognition (OCR) technology to determine how to route mail through the postal system. MLOCRs work by capturing images of the front of letter-sized mailpieces, and extracting the entire address from each piece.
Learn about the history, applications, and techniques of optical character recognition (OCR), the conversion of images of text into machine-encoded text. OCR can be used for data entry, document digitization, text mining, and assistive technology.
In 1965, the postal service put the first high-speed optical character reader into operation that could handle a preliminary sort automatically [citation needed]. The first computer-driven single-line optical character reader—which reads the mailpiece destination address then prints a barcode on the envelope that could be used to automate ...
On October 26, 1970, the U.S. Postal Service awarded IBM a US$6.7 million contract to develop the Advanced Optical Character Reader Postal Service. Development was carried out by both IBM Rochester and the IBM Federal Systems Division in IBM Gaithersburg. The goal was to sort 1 million letters in a 24-hour operating period. [41]
Tesseract is a free and open source optical character recognition engine for various operating systems. It supports 116 languages and 37 scripts, and can be trained to work in other languages. Learn about its development, features and accuracy.
Optical mark recognition (OMR) is a technology that collects data from people by identifying markings on a paper. It is used in exams, voting, mail processing and other applications that require fast and accurate grading or tallying.
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