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The History Of OCR Technology


Fri, 18 Jul 2008 04:30:00

Para scri pt.com

The overwhelming volume of paper-based data outstrips the ability of corporations and government entities to manage documents and records

Brilliant Optical Character Recognition
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Computers – working faster and more efficiently than human operators – now perform many of the tasks required for efficient document and content management. Computers best manage two distinct types of documents: electronic documents or data files created originally on a computer and paper documents scanned and recognized as images.

 

Intelligent Recognition Technology – the final frontier

BY Para scri pt - www.para scri pt.com

The basic principle of Intelligent Recognition states that handwriting, when reduced to its most basic components, is essentially motion, or a series of movements, made by a writing instrument. According to this theory, any handwriting can be described using elements of a special de scri ption language. The eight elements that make up the trajectories of all cursive letters (Figure 1 below) form a ring that illustrates the possible transitions of neighbor elements.

 

Optical character recognition is an uphill battle for open source

By: Nathan Willis

If you use Linux, or another free operating system, and need optical character recognition (OCR) software, be prepared for a challenge. OCR is a tricky problem on any computing platform -- both because it is conceptually hard, and because the task does not lend itself to simple, easy-to-use interfaces. OCR is the use of visual pattern matching to extract text from an image -- usually a scanned paper document, but it could be a digital photo, a frame of video, or a screenshot just as easily.

 

Optical Character Recognition

By: Sami Lais

(Computerworld) Suppose you wanted to digitize the novel Moby Dick overnight. You could stay up all night typing and still not finish. Or you could use a high-end scanner and in minutes scan all of author Herman Melville's works into a computer using optical character recognition (OCR) technology.

 

This is the technology long used by libraries and government agencies to make lengthy documents quickly available electronically. Advances in OCR technology have spurred its increasing use by enterprises. For many document-input tasks, OCR is the most cost-effective and speedy method available. And each year, the technology frees acres of storage space once given over to file cabinets and boxes full of paper documents.

 

TECHNOLOGY OVERVIEWS – OCR/ICR/INTELLIGENT RECOGNITION

BY Para scri pt:  www.para scri pt.com

OCR Technology

Optical Character Recognition (OCR) – used extensively throughout business and government – examines scanned bitmap images of machine-printed text and translates the characters into ASCII text files that can be edited. For instance, paper checks contain number series written in machine print designed to minimize recognition errors. These codes contain bank routing numbers, the holder’s account numbers and other information required to process paper transactions. Machine print conversion is largely a solved problem in this application, as OCR was included in the first commercial systems that automated machine print text recognition.

 

Turning images into editable text

OCR (Optical Character Recognition) is the process of turning a picture of words (such as a scan of a typed letter) into an editable document that you can open and use in your desktop publishing software, word processor, or other text editor.  While the technology has been around for years, it has also been a hit-or-miss process. Some software does the job better than others. Some of the newest packages offer better support for less-than-perfect originals and documents with elaborate formatting including columns, tables, numerous font changes, and graphics. See the sidebar links for a round-up of some of the top OCR solutions out there right now for your Windows and Macintosh desktop systems.

 

What Is OCR?

Optical Character Recognition (OCR) is a process of converting printed materials into text or word processing files that can be easily edited and stored. The technology has enabled such materials to be stored using much less storage space than the hard copy materials. OCR technology has made a huge impact on the way information is stored, shared and edited. Prior to Optical Character Recognition, if someone wanted to turn a book into a word processing file, each page would have to be typed word for

 


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