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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Hauptverfasser: Bunke, H., Roth, M., Schukat-Talamazzini, E.G.
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creator Bunke, H.
Roth, M.
Schukat-Talamazzini, E.G.
description 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_str_mv 10.1109/ICPR.1994.576948
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ispartof Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5), 1994, Vol.2, p.383-386 vol.2
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Application software
Character recognition
Dictionaries
Handwriting recognition
Hidden Markov models
Optical character recognition software
Postal services
Skeleton
Speech recognition
Writing
title Off-line recognition of cursive script produced by a cooperative writer
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