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A Two-Stage Visual Turkish Sign Language Recognition System Based on Global and Local Features

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Foundations of Intelligent Systems (ISMIS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4203))

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Abstract

In order to provide communication between the deaf-dumb people and the hearing people, a two-stage system translating Turkish Sign Language into Turkish is developed by using vision based approach. Hidden Markov models are utilized to determine the global feature group in the dynamic gesture recognition stage, and k nearest neighbor algorithm is used to compare the local features in the static gesture recognition stage. The system can perform person dependent recognition of 172 isolated signs.

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References

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Author information

Authors and Affiliations

  1. Computer Science and Engineering Department, Yıldız Technical University, 34349, Beşiktaş, İstanbul, Turkey

    Hakan Haberdar & Songül Albayrak

Authors
  1. Hakan Haberdar
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  2. Songül Albayrak
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Editor information

Editors and Affiliations

  1. Dipartimento di Informatica, Università degli Studi di Bari,  

    Floriana Esposito

  2. Department of Computer Science, University of North Carolina, NC 28223, Charlotte, USA

    Zbigniew W. Raś

  3. Dipartimento di Informatica, Università degli Studi di Bari, via Orabona, 4, 70126, Bari, Italy

    Donato Malerba

  4. Dipartimento di Informatica, Università di Bari, Via E. Orabona, 4, 70125, Bari, Italia

    Giovanni Semeraro

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© 2006 Springer-Verlag Berlin Heidelberg

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Haberdar, H., Albayrak, S. (2006). A Two-Stage Visual Turkish Sign Language Recognition System Based on Global and Local Features. In: Esposito, F., Raś, Z.W., Malerba, D., Semeraro, G. (eds) Foundations of Intelligent Systems. ISMIS 2006. Lecture Notes in Computer Science(), vol 4203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11875604_5

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  • DOI: https://doi.org/10.1007/11875604_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45764-0

  • Online ISBN: 978-3-540-45766-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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