Hybrid Method based on Multi-Feature Descriptor for Static Sign Language Recognition

Faculty Engineering Year: 2017
Type of Publication: ZU Hosted Pages:
Authors:
Rania Ahmed Elsayed Ahmed Mansour Khalifa
Journal: (The 8th IEEE International Conference on Intelligent Computing and Information Systems (ICICIS (Institute of Electrical and Electronics Engineers (IEEE Volume:
Keywords : Hybrid Method based , Multi-Feature Descriptor , Static    
Abstract:
Sign Language Recognition is an essential research problem for enabling communication with deaf-dumb people. Sign language recognition system confronts many challenges such as complex background, illumination changes, translation, rotation,
    
     
 
       

Author Related Publications

  • Rania Ahmed Elsayed Ahmed Mansour Khalifa, "Speech Compression Techniques based on Gaussian Mixture Model and Wavelet Analysis", Ain Shams University, Faculty of Engineering, 2009 More
  • Rania Ahmed Elsayed Ahmed Mansour Khalifa, "Skin-based Adaptive Background Subtraction for Hand Gesture Segmentation", (Institute of Electrical and Electronics Engineers (IEEE, 2015 More
  • Rania Ahmed Elsayed Ahmed Mansour Khalifa, "Hand Gesture Recognition Based on Dimensionality Reduction of Histogram of Oriented Gradients", (Institute of Electrical and Electronics Engineers (IEEE, 2017 More
  • Rania Ahmed Elsayed Ahmed Mansour Khalifa, "Performance Enhancement of Indoor Cellular Visible Light Communication through Cell Size and Wavelength Reuse Pattern", Springer Nature, 2023 More
  • Rania Ahmed Elsayed Ahmed Mansour Khalifa, "Deep learning-based Automatic Modulation Classification Using Robust CNN Architecture for Cognitive Radio Networks", MDPI, 2023 More

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