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United Zernike Invariants for Character Images

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Visual Informatics: Bridging Research and Practice (IVIC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5857))

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Abstract

Feature extraction is one of the major components in traditional pattern recognition. There are many methods for extracting the features, either structural approach or global approach. In this paper, we present integrated formulation of Zernike Moments and United Moment Invariant for extracting the character images accordingly. The extraction values are validated by measuring the Inter-class and intra-class analysis to illustrate the effectiveness of the proposed solution. The results yield that the proposed method are feasible and better for extracting the images for both inter-class and intra-class analysis.

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Author information

Authors and Affiliations

  1. Soft Computing Research Group, K-Economy Research Alliance, Universiti Teknologi Malaysia, Skudai, Johor

    Norsharina Abu Bakar & Siti Mariyam Shamsuddin

Authors
  1. Norsharina Abu Bakar
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  2. Siti Mariyam Shamsuddin
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Editor information

Editors and Affiliations

  1. Universiti Kebangsaan Malaysia, Bangi, Malaysia

    Halimah Badioze Zaman

  2. Computer Laboratory, University of Cambridge, 15 JJ Thomson Avenue, CB3 0FD, Cambridge, United Kingdom

    Peter Robinson

  3. Communications and Signal Processing Group, Electrical and Electronic Engineering Department, Imperial College, SW7 2AZ, London, UK

    Maria Petrou

  4. School of Computing Science, Culture Lab, University of Newcastle upon Tyne, NE1 7RU, United Kingdom

    Patrick Olivier

  5. School of Computer Science and Information Technology, RMIT University, GPO Box 2476, 3001, Melbourne, Victoria, Australia

    Heiko Schröder

  6. Department of Computer Science and Information Engineering, Tamkang University, Tamkang University,, Taiwan

    Timothy K. Shih

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© 2009 Springer-Verlag Berlin Heidelberg

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Bakar, N.A., Mariyam Shamsuddin, S. (2009). United Zernike Invariants for Character Images. In: Badioze Zaman, H., Robinson, P., Petrou, M., Olivier, P., Schröder, H., Shih, T.K. (eds) Visual Informatics: Bridging Research and Practice. IVIC 2009. Lecture Notes in Computer Science, vol 5857. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05036-7_47

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  • DOI: https://doi.org/10.1007/978-3-642-05036-7_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05035-0

  • Online ISBN: 978-3-642-05036-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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