Handwriting recognition

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