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Computer Recognition Systems pp 759–766Cite as

HMM and WT Fusion for Face Identification

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Part of the book series: Advances in Soft Computing ((AINSC,volume 30))

Abstract

This paper describes the original FaMar method of user’s identification. The method bases on the fusion of Wavelet Transform (WT) and Hidden Markov Models (HMM), which is used for three parts of the face (eyes, nose, and mouth) separately.

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References

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Author information

Authors and Affiliations

  1. Institute of Computernad Information Science, Czestochowa University of Technology, Dabrowskiego Street 73, 42-200, Czestochowa, Poland

    Janusz Bobulski

Authors
  1. Janusz Bobulski
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Editor information

Editors and Affiliations

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

    Marek Kurzyński , Edward Puchała , Michał Woźniak  & Andrzej żołnierek , ,  & 

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© 2005 Springer-Verlag Berlin Heidelberg

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Bobulski, J. (2005). HMM and WT Fusion for Face Identification. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_89

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  • DOI: https://doi.org/10.1007/3-540-32390-2_89

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25054-8

  • Online ISBN: 978-3-540-32390-7

  • eBook Packages: EngineeringEngineering (R0)

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