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TSF enables a text service to store metadata with a document, a piece of text, or an object within the document. For example, a speech input text service can store sound information associated with a block of text. [3] TSF enables text services to provide accurate and complete text conversion, with continuous access to the document buffer.
A digital pen is an input device which captures the handwriting or brush strokes of a user, converts handwritten analog information created using "pen and paper" into digital data, enabling the data to be utilized in various applications. For example, the writing data can be digitized and uploaded to a computer and displayed on its monitor.
This system is distinct from the less advanced handwriting recognition system employed in its Windows Mobile OS for PDAs. Although handwriting recognition is an input form that the public has become accustomed to, it has not achieved widespread use in either desktop computers or laptops.
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.
This comparison of optical character recognition software includes: . OCR engines, that do the actual character identification; Layout analysis software, that divide scanned documents into zones suitable for OCR
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 ...
The software features of Windows for Pen Computing 1.0 includes an on-screen keyboard, a notepad program for writing with the stylus, and a program for training the system to respond accurately to the user's handwriting.
When cursive handwriting is in play, for each word analyzed, the system breaks down the words into a sequence of graphemes, or subparts of letters. These various curves, shapes and lines make up letters and IWR considers these various shape and groupings in order to calculate a confidence value associated with the word in question. [4]