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New Segmentation Algorithm for Individual Offline Handwritten Character Segmentation

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Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3614))

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Abstract

Handwritten character recognition has been an intensive research for last decade. A handwritten character recognition fuzzy system with an automatically generated rule base possesses the features of flexibility, efficiency and online adaptability. A major requirement of such a fuzzy system for either online or offline handwritten character recognition is, the segmentation of individual characters into meaningful segments. Then these segments can be used for the calculation of fuzzy features and the recognition process. This paper describes a new segmentation algorithm for offline handwritten character segmentation, which segments the individual handwritten character skeletons into meaningful segments. Therefore, this algorithm is a good candidate for an offline handwritten character recognition fuzzy system.

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Authors and Affiliations

  1. Department of Statistics and Computer Science, Faculty of Science, University of Peradeniya, Peradeniya, SriLanka

    K. B. M. R. Batuwita

  2. Department of Production Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, SriLanka

    G. E. M. D. C. Bandara

Authors
  1. K. B. M. R. Batuwita
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  2. G. E. M. D. C. Bandara
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

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© 2005 Springer-Verlag Berlin Heidelberg

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Batuwita, K.B.M.R., Bandara, G.E.M.D.C. (2005). New Segmentation Algorithm for Individual Offline Handwritten Character Segmentation. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11540007_26

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  • DOI: https://doi.org/10.1007/11540007_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28331-7

  • Online ISBN: 978-3-540-31828-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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