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A Framework of Two-Stage Combination of Multiple Recognizers for Handwritten Numerals

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PRICAI 2000 Topics in Artificial Intelligence (PRICAI 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1886))

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Abstract

In this paper, we propose a framework of two-stage combination method to recognize unconstrained handwritten numerals. It uses multiple combination methods simultaneously unlike the existing methods with only one combination algorithm. The recognizers are first combined by several combination methods at the same time, and the results of them are finally combined by a combination method to generate the final result of recognition. Five recognizers and eight combination methods are used to make a good framework of two-stage combination. The proposed framework was experimented and evaluated with CEN-PARMI and CEDAR databases. The results showed that we could get the best performance by exploiting the combination methods of different classes at the first stage and then by combining the results of the previous stage by means of Bayesian method.

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Author information

Authors and Affiliations

  1. Electronics and Telecommunications Research Institute, Taejon, Korea

    K. Lee

  2. Dept. of Computer Science, Yonsei University, Seoul, Korea

    Y. Lee

Authors
  1. K. Lee
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  2. Y. Lee
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Editor information

Editors and Affiliations

  1. Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan

    Riichiro Mizoguchi

  2. Computer Sciences Laboratory, Research School of Information Sciences and Engineering, Australian National University, Canberra, ACT, 0200, Australia

    John Slaney

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© 2000 Springer-Verlag Berlin Heidelberg

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Lee, K., Lee, Y. (2000). A Framework of Two-Stage Combination of Multiple Recognizers for Handwritten Numerals. In: Mizoguchi, R., Slaney, J. (eds) PRICAI 2000 Topics in Artificial Intelligence. PRICAI 2000. Lecture Notes in Computer Science(), vol 1886. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44533-1_62

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  • DOI: https://doi.org/10.1007/3-540-44533-1_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67925-7

  • Online ISBN: 978-3-540-44533-3

  • eBook Packages: Springer Book Archive

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