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Selected Problems of Intelligent Handwriting Recognition

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Analysis and Design of Intelligent Systems using Soft Computing Techniques

Part of the book series: Advances in Soft Computing ((AINSC,volume 41))

Abstract

We propose a new method for handwriting recognition that utilizes geometric features of letters. The paper deals with recognition of isolated handwritten characters using an artificial neural network. The characters are written on a regular sheet of paper using a pen, and then they are captured optically by a scanner and processed to a binary image which is analyzed by a computer. In this paper we present a new method for off-line handwriting recognition and also describe our research and tests performed on the neural network.

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References

  1. Artieres, T., et al.: A Hidden Markov Models combination framework for handwriting recognition. International Journal on Document Analysis and Recognition 5(4), 233–243 (2003)

    Article  Google Scholar 

  2. Besner, D., Humphreys, G.W.: Basic Processes in Reading: Visual Word Recognition. Lawrence Erlbaum Associates, Hillsdale (1991)

    Google Scholar 

  3. Bishop, C.M.: Neural Networks for Pattern Recognition. Oxford University Press, New York (2004)

    Google Scholar 

  4. Bradford, R., Bradford, R.B.: An Introduction to Handwriting Examination and Identification. Nelson-Hall Publishers, Chicago (1992)

    Google Scholar 

  5. Boccignone, G., et al.: Recovering Dynamic Information from Static Handwriting. Pattern Recognition 26(3), 409–418 (1993)

    Article  Google Scholar 

  6. Doermann, D.S., Rosenfeld, A.: Recovery of Temporal Information from Static Images of Handwriting. Computer Vision 15(1-2), 143–164 (1995)

    Article  Google Scholar 

  7. Dori, D., Bruckstein, A.: Shape, Structure and Pattern Recognition. World Scientific, Singapore (1995)

    Google Scholar 

  8. Kavallieratou, E., Fakotakis, N., Kokkinakis, G.: An unconstrained handwriting recognition system. International Journal on Document Analysis and Recognition 4(4), 226–242 (2002)

    Article  Google Scholar 

  9. Li, Z.C., Suen, C.Y.: The partition-combination method for recognition of handwritten characters. Pattern Recognition Letters 21(8), 701–720 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  10. Majewski, M., Kacalak, W.: Automatic recognition and evaluation of natural language commands. In: Wang, J., et al. (eds.) ISNN 2006. LNCS, vol. 3973, pp. 1155–1160. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  11. Majewski, M., Kacalak, W.: Natural language human-machine interface using artificial neural networks. In: Wang, J., et al. (eds.) ISNN 2006. LNCS, vol. 3973, pp. 1161–1166. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  12. Majewski, M., Kacalak, W.: Intelligent Layer of Two-Way Voice Communication of the Technological Device with the Operator. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3683, pp. 930–936. Springer, Heidelberg (2005)

    Google Scholar 

  13. Kacalak, W., Douglas Stuart, K., Majewski, M.: Intelligent Natural Language Processing. In: Jiao, L., et al. (eds.) ICNC 2006. LNCS, vol. 4221, pp. 584–587. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  14. Mitiche, A., Lebidoff, M.: Pattern Classification by a Condensed Neural Network. Neural Networks 14(4-5), 575–580 (2001)

    Article  Google Scholar 

  15. Mori, S., Nishida, H., Yamada, H.: Optical Character Recognition. John Wiley & Sons, New York (1999)

    Google Scholar 

  16. Nishida, H.: An Approach to Integration of Off-Line and On-Line Recognition of Handwriting. Pattern Recognition Letters 16(11), 1213–1219 (1995)

    Article  Google Scholar 

  17. Zhou, J., Krzyzak, A., Suen, C.Y.: Verification-a Method of Enhancing the Recognizers of Isolated and Touching Handwritten Numerals. Pattern Recognition 35(5), 1179–1189 (2002)

    Article  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Koszalin University of Technology, Faculty of Mechanical Engineering, Raclawicka 15-17, 75-620 Koszalin, Poland

    Wojciech Kacalak & Maciej Majewski

  2. Polytechnic University of Valencia, Department of Applied Linguistics, Camino de Vera, s/n, 46022 Valencia, Spain

    Keith Douglas Stuart

Authors
  1. Wojciech Kacalak
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  2. Keith Douglas Stuart
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  3. Maciej Majewski
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Editor information

Patricia Melin Oscar Castillo Eduardo Gomez Ramírez Janusz Kacprzyk Witold Pedrycz

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© 2007 Springer-Verlag Berlin Heidelberg

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Kacalak, W., Stuart, K.D., Majewski, M. (2007). Selected Problems of Intelligent Handwriting Recognition. In: Melin, P., Castillo, O., Ramírez, E.G., Kacprzyk, J., Pedrycz, W. (eds) Analysis and Design of Intelligent Systems using Soft Computing Techniques. Advances in Soft Computing, vol 41. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72432-2_30

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  • DOI: https://doi.org/10.1007/978-3-540-72432-2_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72431-5

  • Online ISBN: 978-3-540-72432-2

  • eBook Packages: EngineeringEngineering (R0)

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