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Titlebook: Markov Models for Handwriting Recognition; Thomas Plötz,Gernot A. Fink Book 2011 Thomas Plötz 2011 Document Analysis.Handwriting Recogniti

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Book 2011m due to its substantial variation in appearance. With the introduction of Markovian models to the field, a promising modeling and recognition paradigm was established for automatic handwriting recognition. However, no standard procedures for building Markov model-based recognizers have yet been est
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General Architecture,tures are computed that characterize the local appearance of the script. These are fed into a Markov-model based decoder that produces a hypothesis for the segmentation . classification of the analyzed portion of handwritten text—usually as a sequence of word or character hypotheses.
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Recognition Systems for Practical Applications,ffline recognition. Reviewing the literature, we identified seven major recognition systems. We concentrated on those systems that are still being maintained and further developed. In this chapter their key features will be described and performance figures will be given.
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