Handwriting recognition

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.^[1]^[2] 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. A handwriting recognition system handles formatting, performs correct segmentation into characters, and finds the most possible words.

^ Förstner, Wolfgang (1999). Mustererkennung 1999 : 21. DAGM-Symposium Bonn, 15.-17. September 1999. Joachim M. Buhmann, Annett Faber, Petko Faber. Berlin, Heidelberg: Springer Berlin Heidelberg. ISBN 978-3-642-60243-6. OCLC 913706869.
^ Schenk, Joachim (2010). Mensch-maschine-kommunikation : grundlagen von sprach- und bildbasierten benutzerschnittstellen. Gerhard Rigoll. Heidelberg: Springer. ISBN 978-3-642-05457-0. OCLC 609418875.

[1] Förstner, Wolfgang (1999). Mustererkennung 1999 : 21. DAGM-Symposium Bonn, 15.-17. September 1999. Joachim M. Buhmann, Annett Faber, Petko Faber. Berlin, Heidelberg: Springer Berlin Heidelberg. ISBN 978-3-642-60243-6. OCLC 913706869.

[2] Schenk, Joachim (2010). Mensch-maschine-kommunikation : grundlagen von sprach- und bildbasierten benutzerschnittstellen. Gerhard Rigoll. Heidelberg: Springer. ISBN 978-3-642-05457-0. OCLC 609418875.

[1]

[2]