Dynamical encoding of cursive handwriting

Yoram Singer, Naftali Tishby

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations


Online cursive handwriting is considered as a slow modulation of an underlying cycloidal motion, Two dimensional oscillation, with a constant linear drift, describe the general pen motion. The dynamical equations describing the oscillations are coupled through fixed ratios of the angular velocities and phase lags. The entire process is thus viewed as an almost constant vertical oscillatory movement with changing horizontal velocity phase lag. An estimation scheme of the cycloidal motion parameters is presented. In the estimation process the instantaneous amplitude and phase lag of the horizontal velocity are calculated and quantized. The result is a many to one mapping from the continuous pen movements to discrete motor control symbols. Using this motor control representation word spotting and matching is performed successfully. These results suggest the potential of our dynamic representation for complete cursive handwriting recognition.

Original languageEnglish (US)
Title of host publicationIEEE Computer Vision and Pattern Recognition
Editors Anon
PublisherPubl by IEEE
Number of pages6
ISBN (Print)0818638826
StatePublished - 1993
EventProceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - New York, NY, USA
Duration: Jun 15 1993Jun 18 1993

Publication series

NameIEEE Computer Vision and Pattern Recognition


OtherProceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CityNew York, NY, USA

All Science Journal Classification (ASJC) codes

  • General Engineering


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