Skip to main content
SpringerLink
Log in
Book cover

Computer Recognition Systems 2 pp 470–476Cite as

Preprocessing for Real-Time Handwritten Character Recognition

  • Conference paper

Part of the book series: Advances in Soft Computing ((AINSC,volume 45))

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.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Arica N., Yarman-Vural F. T. (2001): An Overview of Character Recognition Focused on Off-line Handwriting. Systems, Man and Cybernetics, Part C: Applications and Reviews, Vol. 31, No. 2, pp. 216–232.

    Article  Google Scholar 

  2. PhatWare Corporation, CalliGrapher 8.5 for Pocket PCs, http://www.phatware.com/calligrapher/.

    Google Scholar 

  3. Duch W., Korbicz J., Rutkowski L., Tadeusiewicz R. (2000): Sieci neuronowe. PAN Akademicka Oficyna Wydawnicza EXIT, Warszawa.

    Google Scholar 

  4. Jenks G. F. (1989): Geographic logic in line generalization. Cartographica, 26(1): 27–42.

    Google Scholar 

  5. Tappert C. C. (1984): Adaptive on-line handwriting recognition, in Proc. 7th Int. Conf. Pattern Recognition, Montreal, Canada, pp. 1004–1007.

    Google Scholar 

  6. CharacTell Advanced Character Recognition Technology: http://www.charactell.com/ACRWhitePaper.pdf and http://www.charactell.com/ Technology Foundation.html

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Katedra Informatyki Stosowanej, Politechnika Łódzka, Poland

    Bartosz Paszkowski, Wojciech Bieniecki & Szymon Grabowski

Authors
  1. Bartosz Paszkowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wojciech Bieniecki
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Szymon Grabowski
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Faculty of Electronics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Marek Kurzynski , Edward Puchala , Michal Wozniak  & Andrzej Zolnierek , ,  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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

Download citation

  • 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

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation