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Online handwriting recognition involves the automatic conversion of text as it is written on a special digitizer or PDA, where a sensor picks up the pen-tip movements as well as pen-up/pen-down switching. This kind of data is known as digital ink and can be regarded as a digital representation of handwriting.
Images, Text Handwriting recognition, classification 2009 [125] CASIA: CASIA-OLHWDB Online handwritten Chinese character database, collected using Anoto pen on paper. 3755 classes in the GB 2312 character set. Provides the sequences of coordinates of strokes. 1,174,364 Images, Text Handwriting recognition, classification 2009 [126] [125] CASIA
Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and ...
Dynamic: In this mode, users writes in a digitizing tablet, which acquires the text in real time. Another possibility is the acquisition by means of stylus-operated PDAs. Dynamic recognition is also known as "on-line". Dynamic information for handwriting movement analysis usually consists of the following information: spatial coordinate x(t)
Intelligent character recognition (ICR) is used to extract handwritten text from images. It is a more sophisticated type of OCR technology that recognizes different handwriting styles and fonts to intelligently interpret data on forms and physical documents.
Intelligent Word Recognition, or IWR, [1] is the recognition of unconstrained handwritten words. [2] IWR recognizes entire handwritten words or phrases instead of character-by-character, like its predecessor, optical character recognition (OCR). [ 3 ]
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