Off-line recognition of cursive script produced by a cooperative writer

A method for the off-line recognition of cursive handwriting based on hidden Markov models is described. The features used in the HMMs are based on the arcs of skeleton graphs of the words to be recognized. An average correct recognition rate of over 98% on the word level has been achieved in experi...

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Bibliographische Detailangaben
Hauptverfasser:	Bunke, H., Roth, M., Schukat-Talamazzini, E.G.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Application software Character recognition Dictionaries Handwriting recognition Hidden Markov models Optical character recognition software Postal services Skeleton Speech recognition Writing
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Beschreibung
Zusammenfassung:	A method for the off-line recognition of cursive handwriting based on hidden Markov models is described. The features used in the HMMs are based on the arcs of skeleton graphs of the words to be recognized. An average correct recognition rate of over 98% on the word level has been achieved in experiments with cooperative writers using two dictionaries of 150 words each.
DOI:	10.1109/ICPR.1994.576948