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• W2113292028 abstract "We introduce a new approach to normalizing words written with an electronic stylus that applies to all styles of handwriting (upper case, lower case, printed, cursive, or mixed). A geometrical model of the word spatial structure is fitted to the pen trajectory using the expectation-maximisation algorithm. The fitting process maximizes the likelihood of the trajectory given the model and a set a priors on its parameters. The method was evaluated and integrated to a recognition system that combines neural networks and hidden Markov models." @default.
• W2113292028 created "2016-06-24" @default.
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• W2113292028 date "2002-12-17" @default.
• W2113292028 modified "2023-09-25" @default.
• W2113292028 title "Word normalization for online handwritten word recognition" @default.
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• W2113292028 doi "https://doi.org/10.1109/icpr.1994.576966" @default.
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