Handwriting perceptual classification and synthesis using discriminate HMMs and progressive iterative approximation

    Neural Computing and Applications, pp. 1-22, 2019.

    Cited by: 0|Bibtex|Views12|

    Abstract:

    This paper handles the problem of online handwriting synthesis. Indeed, this work presents a probabilistic model using the embedded hidden Markov models (HMMs) for the classification and modeling of perceptual sequences. At first, we start with a vector of perceptual points as input seeking a class of basic shape probability as output. In...More

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