Difference between revisions of "Handwriting recognition"
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* [[AI effect]] | * [[AI effect]] | ||
* [[Applications of artificial intelligence]] | * [[Applications of artificial intelligence]] | ||
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* [[Handwriting movement analysis]] | * [[Handwriting movement analysis]] | ||
* [[Intelligent character recognition]] | * [[Intelligent character recognition]] | ||
Latest revision as of 17:38, 3 September 2016
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.
Description
The image of the written text may be sensed "off line" from a piece of paper by optical scanning (optical character recognition) or intelligent word recognition.
Alternatively, the movements of the pen tip may be sensed "on line", for example by a pen-based computer screen surface, a generally easier task as there are more clues available.
Handwriting recognition principally entails optical character recognition. However, a complete handwriting recognition system also handles formatting, performs correct segmentation into characters and finds the most plausible words.
See also
- AI effect
- Applications of artificial intelligence
- Graffiti Markup Language - an XML-based file format that stores graffiti motion data.
- Handwriting movement analysis
- Intelligent character recognition
- Live Ink Character Recognition Solution
- Neocognitron
- Optical character recognition
- Pen computing
- Sketch recognition
- Tablet PC
External links
- Handwriting recognition @ Wikipedia.org
- What are some algorithms for symbol-by-symbol handwriting recognition? @ Stack Overflow
