Abstract
We present a real-time on-line handwritten character recognition system, based on an ensemble of neural networks. In this work we focus on the developed preprocessing algorithms which help achieve high accuracy rate without a visible delay in recognition process.
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© 2007 Springer-Verlag Berlin Heidelberg
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Paszkowski, B., Bieniecki, W., Grabowski, S. (2007). Preprocessing for Real-Time Handwritten Character Recognition. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_59
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DOI: https://doi.org/10.1007/978-3-540-75175-5_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75174-8
Online ISBN: 978-3-540-75175-5
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