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Handwriting recognition (HWR), also known as handwritten text recognition (HTR), is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch-screens and other devices.
An early device in the PDA category – the term itself originating with the Newton [2] – it was the first to feature handwriting recognition. Newton devices run on a proprietary operating system, Newton OS; unlike the company's Macintosh computers, Apple licensed the software to third-parties, who released Newton devices alongside Apple's ...
It was developed by Apple's Advanced Technology Group, and was described in 2012 as "the world's first genuinely usable handwriting recognition system". [11] The Newton can recognize hand-printed text, cursive, or a mix of the two, and can also accept free-hand "Sketches", "Shapes", and "ink text".
Graffiti is an essentially single-stroke shorthand handwriting recognition system used in PDAs based on the Palm OS. Graffiti was originally written by Palm, Inc. as the recognition system for GEOS -based devices such as HP's OmniGo 100 and 120 or the Magic Cap -line and was available as an alternate recognition system for the Apple Newton ...
Pen computing refers to any computer user-interface using a pen or stylus and tablet, over input devices such as a keyboard or a mouse.. Historically, pen computing (defined as a computer system employing a user-interface using a pointing device plus handwriting recognition as the primary means for interactive user input) predates the use of a mouse and graphical display by at least two ...
Handwriting recognition (or HWR) is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch-screens and other devices. It allows users to use a touch screen device much like a notepad on which they can write without the need for a keyboard, and the software finds ...
While the technology was a probable cause for the failure of the device (which otherwise met or exceeded expectations), the technology has been instrumental in producing the future generation of handwriting software that realizes the potential and promise that began in the development of Newton-Apple's Ink Handwriting Recognition. [11]
Most ICR software has a self-learning system referred to as a neural network, which automatically updates the recognition database for new handwriting patterns.It extends the usefulness of scanning devices for the purpose of document processing, from printed character recognition (a function of OCR) to hand-written matter recognition.
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