Hidden Markov models applied to on-line handwritten isolatedcharacter recognition |
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Authors: | Veltman S.R. Prasad R. |
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Affiliation: | Telecommun. and Traffic-Control Syst. Group, Delft Univ. of Technol. |
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Abstract: | Hidden Markov models are used to model the generation of handwritten, isolated characters. Models are trained on examples using the Baum-Welch optimization routine. Then, given the models for the alphabet, unknown characters can be classified using maximum-likelihood classification. Experiments have been conducted, and an average error rate of 6.9% was achieved over the alphabet consisting of the lowercase English alphabet. |
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