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Intelligent Informatics pp 297–306Cite as

Software-Based Malaysian Sign Language Recognition

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 182))

Abstract

This work presents the development of a software-based Malaysian Sign Language recognition system using Hidden Markov Model. Ninety different gestures are used and tested in this system. Skin segmentation based on YCbCr colour space is implemented in the sign gesture videos to separate the face and hands from the background. The feature vector of sign gesture is represented by chain code, distance between face and hands and tilting orientation of hands. This work has achieved recognition rate of 72.22%.

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References

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Authors and Affiliations

  1. School of Engineering and Information Technology, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia

    Farrah Wong, G. Sainarayanan, Wan Mahani Abdullah, Ali Chekima, Faysal Ezwen Jupirin & Yona Falinie Abdul Gaus

Authors
  1. Farrah Wong
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  2. G. Sainarayanan
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  3. Wan Mahani Abdullah
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  4. Ali Chekima
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  5. Faysal Ezwen Jupirin
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  6. Yona Falinie Abdul Gaus
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Corresponding author

Correspondence to Farrah Wong .

Editor information

Editors and Affiliations

  1. (MIR Labs), Scientific Network for Innovation and, Machine Intelligence Research Labs, MIR Labs Campus, Auburn, 98071, Washington, USA

    Ajith Abraham

  2. Technology and Management, Indian Institute of Information, Technopark Campus, Trivandrum, 695581, India

    Sabu M Thampi

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© 2013 Springer-Verlag Berlin Heidelberg

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Wong, F., Sainarayanan, G., Abdullah, W.M., Chekima, A., Jupirin, F.E., Gaus, Y.F.A. (2013). Software-Based Malaysian Sign Language Recognition. In: Abraham, A., Thampi, S. (eds) Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32063-7_31

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  • DOI: https://doi.org/10.1007/978-3-642-32063-7_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32062-0

  • Online ISBN: 978-3-642-32063-7

  • eBook Packages: EngineeringEngineering (R0)

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