Editing Optical character recognition (section)

==Types==
* Optical character recognition (OCR){{spaced ndash}}targets typewritten text, one [[glyph]] or [[character (symbol)|character]] at a time.
* Optical word recognition{{spaced ndash}}targets typewritten text, one word at a time (for languages that use a [[Space (punctuation)|space]] as a [[word divider]]). Usually just called "OCR".
* [[Intelligent character recognition]] (ICR){{spaced ndash}}also targets handwritten [[printscript]] or [[cursive]] text one glyph or character at a time, usually involving [[machine learning]].
* [[Intelligent word recognition]] (IWR){{spaced ndash}}also targets handwritten [[printscript]] or [[cursive]] text, one word at a time. This is especially useful for languages where glyphs are not separated in cursive script.

OCR is generally an offline process, which analyses a static document. There are cloud based services which provide an online OCR API service. [[Handwriting movement analysis]] can be used as input to [[handwriting recognition]].<ref>{{Cite journal | last1 = Tappert | first1 = C. C. | last2 = Suen | first2 = C. Y. | last3 = Wakahara | first3 = T. | doi = 10.1109/34.57669 | title = The state of the art in online handwriting recognition | journal = IEEE Transactions on Pattern Analysis and Machine Intelligence | volume = 12 | issue = 8 | pages = 787 | year = 1990 | s2cid = 42920826 }}</ref> Instead of merely using the shapes of glyphs and words, this technique is able to capture motion, such as the order in which [[Segment (handwriting)|segments]] are drawn, the direction, and the pattern of putting the pen down and lifting it. This additional information can make the process more accurate. This technology is also known as "online character recognition", "dynamic character recognition", "real-time character recognition", and "intelligent character recognition".