Abstract
In the last few years Markov models have been applied very successfully to the research field of handwriting recognition. In order to draw conclusions, in this chapter we will first summarize the state of the field, followed by the description of methodological trends and future challenges as they have been identified while analyzing the literature. Since the particular approaches as they were described in the literature are still difficult to compare objectively some general remarks on reporting results will be given additionally. The practical outcome of this final chapter is a set of guidelines and hints that should be considered for future research and development in the field.
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Though fixed subdivisions are good there is no reason to prove one’s creativity by defining yet another one without giving clear reasons for it.
References
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Liwicki M, Bunke H (2007) Combining on-line and off-line systems for handwriting recognition. In: Proceedings of international conference on document analysis and recognition, Curitiba, Brazil, pp 372–376
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© 2011 Thomas Plötz
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Plötz, T., Fink, G.A. (2011). Discussion. In: Markov Models for Handwriting Recognition. SpringerBriefs in Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-2188-6_6
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DOI: https://doi.org/10.1007/978-1-4471-2188-6_6
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